SANTA CLARA, Calif., March 6, 2024 (Newswire.com) – Zeto, Inc., a commercial-stage medical technology company transforming EEG brain monitoring for healthcare with its innovative EEG headset and advanced cloud platform, today announced the appointment of Neway Redia as its new Chief Financial Officer. With a career spanning over 20 years, including 16 years at Siemens across multiple divisions and various countries, and last 4 years in leadership positions at medical technology startups, namely, Zap Surgical and Promaxo, Neway brings a wealth of experience and skill to help co-lead Zeto to its next stage of growth.
Aswin Gunasekar, Founder and CEO of Zeto, expressed his enthusiasm saying, “We are excited to welcome Neway Redia as our Chief Financial Officer, especially during a period of fast growth for Zeto. His diverse background, expertise, and strategic leadership are what our company needs at this pivotal phase of our journey. Under Neway’s guidance, we look forward to scaling our operations rapidly and creating the foundation for Zeto to be able to lead the industry. We are optimistic about achieving rapid market penetration with our popular EEG platform.”
On joining Zeto, Neway shared, “I am super excited to join Zeto at such an important phase. The company’s market potential is huge, promising extensive opportunities for growth and innovation. As CFO, I aim to provide financial and strategic leadership to Zeto, as we transform EEG technology which is due for a change, and secure leadership position in the brain monitoring market.”
Neway will be based out of Zeto’s office in Santa Clara, working closely with the company’s management team and the board of directors.
About Zeto, Inc.
Zeto, Inc. is an award-winning, privately held medical technology company located in Santa Clara, CA, that is focused on transforming the way electroencephalography (EEG) is performed at hospitals and clinics. Zeto’s revolutionary FDA-cleared EEG headset and cloud platform bring the traditional EEG procedure to the 21st century. The company plans to leverage its hardware and software technology to improve noninvasive monitoring of the brain’s electrical activity and achieve better outcomes for neurological conditions such as epilepsy, sleep disorders, autism, stroke, and concussion.
EEG in the ICU offers unparalleled insight into the neurological status of patients. Facilitating ease of use is a cornerstone of making sure this vital marker is not overlooked.
In Intensive Care Units (ICUs), where vigilant monitoring of patient health is crucial, traditional focus areas like heart rate, blood pressure, and oxygen levels are routinely scrutinized. EEG monitoring in the ICU is often used for continuous, long-term monitoring of brain activity in critically ill patients. It’s particularly crucial for detecting non-convulsive seizures, assessing the depth of coma, and monitoring for changes in brain function in patients with severe brain injuries, stroke, or those at risk of neurological deterioration. The second biggest neurological emergency after stroke is Status Epilepticus, defined as “A seizure that lasts longer than 5 minutes, or having more than 1 seizure within a 5 minute period, without returning to a normal level of consciousness between episodes is called status epilepticus. This is a medical emergency that may lead to permanent brain damage or death.” For more info see here.
Unfortunately, the monitoring of brain activity doesn’t receive the same level of attention. This is despite various critical care and neurophysiology societies providing guidelines for EEG indications in the ICU. This oversight can be critical, especially since conditions like non-convulsive seizures can go unnoticed without proper EEG monitoring. Research indicates that timely access to EEG monitoring is vital for effective patient management, and any delays can have significant impacts, not just on patient outcomes but also on hospital operational efficiencies.
Challenges in the ICU
The Neurocritical Care Society guidelines advise that patients suspected of having Nonconvulsive Status Epilepticus in ICU should get an EEG test within 15 to 60 minutes.
The primary challenge in intensive care unit is the lack of specialized EEG or neurology staff, which can lead to delays in detecting and treating critical neurological conditions.
A pressing challenge is accurately assessing brain activity, especially in post-cardiac arrest patients. While vital signs like heart rate and blood pressure are meticulously monitored, determining the status of the brain remains a complex task. In the case of patients who have experienced cardiac arrest, assessing neurological function without EEG is nearly impossible. These patients may exhibit varying degrees of consciousness to comatose, making it difficult to discern subtle neurological changes. Traditional methods often fall short in providing a comprehensive understanding of brain activity, highlighting the critical need for accessible and efficient EEG monitoring solutions like that of Zeto EEG.
Another major barrier to effectively leveraging EEG in the ICU is the lack of bedside diagnostic capabilities. Live, remote interpretation by a physician is simply a must, to ensure that an expert is on hand to diagnose and treat in a timely manner. Live video and continuous monitoring by remote techs would provide the highest quality of care in these situations.
Solving the Problem of EEG in the ICU, With Zeto
Zeto’s EEG system is designed to meet the unique demands of the ICU. Zeto’s EEG headset is full-montage with single-use electrodes. Additionally, it is wireless and portable, eliminating the need to wait for a cart to be brought into the ICU. It offers a rapid setup and user-friendly interface, making it accessible to healthcare professionals who may not have specialized training in neurology. This ease of use is a significant advantage in the ICU, where time and accessibility are crucial. The system’s design allows for quick application and immediate monitoring, facilitating faster response times in critical situations.
With Zeto EEG, bedside diagnostics becomes possible, with remote, continuous real-time monitoring by EEG techs and interpretation services from neurologists available, Zeto EEG facilitates high quality care.
The Zeto EEG system also addresses the challenge of interference from other medical devices in the ICU with its state-of-the-art active electrode technology, noise shielding and noise cancellation technology.
Benefits and Features of Zeto EEG in the ICU
Zeto’s EEG system offers several key features that make it particularly suited for the ICU environment:
Bedside Diagnostics with Accurate Seizure Detection: Timely detection of non-convulsive seizures is crucial for patient care. Zeto’s system integrates FDA-cleared seizure detection with notifications, ensuring that these critical events are not missed. Learn more about seizure detection tool here.
Live video through the cloud: Zeto is compatible with any integrated or USB-enabled camera. The cloud’s live/remote capabilities allow for real-time observation of patients during suspected seizures.
The portability and ease of setup of the Zeto system mean it can be quickly deployed and used across different patients, adapting to the dynamic and fluid nature of the ICU.
Special response service for Stat EEG (Status Epilepticus): If you do not have neurologists available to interpret your EEGs, you can easily order this service through our cloud platform.
Remote monitoring by EEG techs
Remote monitoring by board certified neurologists
EEG in the ED
In Emergency Departments (EDs), EEG is typically used for acute diagnostics rather than long-term monitoring. It may be employed to differentiate between epileptic seizures and other conditions (like syncope, psychogenic nonepileptic seizures, or coma) or to confirm status epilepticus when a seizure is not visible.
While ED staff excel at providing immediate care for life-threatening conditions, brain activity monitoring is not always a routine part of the process. However, research findings suggest that
integrating EEG monitoring into the ED’s toolkit can have far-reaching benefits,
especially for patients with conditions requiring prompt neurological evaluation.
Challenges with EEG in the ED
One of the primary challenges in the ED is the limited time available for comprehensive assessments. Research shows that this constraint can lead to missed opportunities for detecting critical neurological conditions, such as non-convulsive seizures or non-convulsive status epilepticus. Patients in the ED may not exhibit obvious seizure symptoms, even after injuries that would seem to typically present them, such as traumatic brain injury, making EEG monitoring even more essential for timely diagnosis.
Furthermore, EDs typically lack specialized neurology staff, and the complexity of traditional EEG equipment can hinder its utility in this fast-paced environment. The need for quick setup and interpretation is evident, given that delays in EEG access can impact patient outcomes. Numerous research findings emphasize the critical role of EEG monitoring in emergency department (ED) settings, highlighting the potential risks associated with overlooking neurological conditions.
Zeto’s Solution for the ED
Zeto’s EEG system is tailored to address the unique challenges of the ED. It offers a streamlined setup process that can be quickly implemented by ED staff, who may not have specialized neurology training. This ease of use is vital in an environment where every minute counts, and rapid response can be a matter of life and death.
The Zeto EEG system also features advanced seizure detection capabilities, aligning with the need for timely diagnosis in the ED. Seizures will be automatically detected and marked in the EEG for review. Near real-time detection notifies medical staff about patients with ongoing clinical seizures. This capability is particularly valuable in the ED, where rapid neurological assessments are essential.
Benefits and Features of Zeto in the ED
Zeto’s EEG system offers several key features that make it a valuable tool in the ED:
Quick Setup: In the high-pressure environment of the ED, simplicity is paramount. Zeto’s full-montage headset is designed for quick deployment without any preparation needed, enabling ED staff to initiate EEG monitoring rapidly (the average time is 5 minutes).
Ease of Use: If EEG techs are not available, any ED nurse or medical assistant can be trained to do EEG with Zeto. Wireless and portable, Zeto headset enables straightforward setup at a patient’s bedside, facilitating immediate EEG monitoring using a laptop.
Video EEG via cloud: Zeto is compatible with any integrated or USB-enabled camera and the cloud’s live/remote capabilities allow for real-time observation of patients during suspected seizures.
Single-use disposable electrodes: Zeto’s electrodes are dry and soft, and designed for convenience and patient comfort, requiring no paste, gel, or cleanup.
Fast turnaround time: Zeto’s EEG system facilitates a swift turnaround time, allowing for instant EEG monitoring and rapid decision-making, essential for prompt diagnosis and treatment in emergency scenarios.
Remote EEG Reading: Zeto offers a Remote EEG Reading Service accessible through the Zeto Cloud Platform. A team of remote, certified, and specially trained adult and pediatric epileptologists provides real-time or retrospective EEG interpretation across all 50 states, the District of Columbia, and Puerto Rico.
Remote EEG monitoring: Zeto provides real-time remote video EEG monitoring by registered EEG technologists (R.EEG.T) when such personnel are unavailable on-site. This service is available in real time upon request with a 30-minute notice 24/7/365, at no extra charge during nights, weekends, or holidays.
These features collectively enhance the ED’s ability to provide comprehensive care, including neurological assessments, to patients who may present with complex medical conditions. The Zeto EEG system’s adaptability and efficiency align with the dynamic nature of the ED, where quick assessments and decision-making are critical.
HITRUST Risk-Based, 2-year (r2) Certification validates Zeto is committed to strong cybersecurity and protecting sensitive data.
SANTA CLARA, Calif., February 26, 2024 (Newswire.com) – Zeto, Inc., a commercial-stage medical technology company transforming EEG brain monitoring in healthcare with its innovative EEG headset and advanced cloud platform, today announced its ZCP (Zeto Cloud Platform) has earned certified status by HITRUST for information security.
HITRUST Risk-based, 2-year (r2) Certification demonstrates that the organization’s ZCP (Zeto Cloud Platform) has met demanding regulatory compliance and industry-defined requirements and is appropriately managing risk. This achievement places Zeto, Inc. in an elite group of organizations worldwide that have earned this certification. By including federal and state regulations, standards, and frameworks and incorporating a risk-based approach, the HITRUST Assurance Program helps organizations address security and data protection challenges through a comprehensive and flexible framework of prescriptive and scalable security controls.
“We’re proud to affirm our commitment to exceptional data protection and information security standards by securing the distinguished HITRUST r2 Certification,” saidAswin Gunasekar, Founder and CEO at Zeto, Inc.
“HITRUST certification is globally recognized as validation that information security and privacy controls are effective and compliant with various regulations. HITRUST certification is considered the gold standard because of the comprehensiveness and applicability of the control requirements, depth of the assurance process, and level of oversight that ensures accuracy,” said Jeremy Huval, Chief Innovation Officer at HITRUST.
About Zeto, Inc.
Zeto, Inc. is an award-winning, privately held medical technology company located in Santa Clara, CA, that is focused on transforming the way electroencephalography (EEG) is performed at hospitals and clinics. Zeto’s revolutionary FDA-cleared EEG headset and cloud platform bring the traditional EEG procedure to the 21st century. The company plans to leverage its hardware and software technology to improve noninvasive monitoring of the brain’s electrical activity and achieve better outcomes for neurological conditions such as epilepsy, sleep disorders, autism, stroke, and concussion.
Filters are commonly used during clinical assessment of EEG brainwaves. They are recommended in the ACNS guidelines¹ to reduce electrical noise and improve EEG data quality. The basics of filter theory are part of the training curriculum for physicians and EEG techs² alike, yet the impact of filters on interpreting data is not always apparent to everyone in the day to day clinical operations. This blog summarizes the issues, explains what filters exist, and what effects they can have on the morphology of the EEG waveforms. Selecting the right filter settings can help improve readability and reduce misinterpretations.
Why We Filter and Why It’s Appropriate
A considerable amount of raw data in EEGs are contaminated by noise and artifacts. This noise originates from various sources such as the environment, recording instruments, or from within the body that are not of interest to analyzing the EEG (i.e. “physiological noise”). The problem arises when these noise sources mask the target EEG signal or interfere with its assessment. Oftentimes, however, the artifact noise and target EEG signal occupy different spectral regions, and selectively filtering out specific frequencies may improve the overall signal-to-noise ratio (SNR).
For example, a direct current (DC) or baseline offset of the amplifier system or slow fluctuations induced by sweat artifacts may be removed with a high-pass filter. Electrical power line noise in the recording environment can be attenuated by using a notch filter at 50 or 60 Hz. And, unwanted high-frequency components from muscle artifacts can be removed by “smoothing” the data with a low-pass filter. The advantages of filters are that they can help increase the SNR of target signals especially in situations in which the target EEG signals are in a limited band.
Filters are applied selectively to exclude frequencies from further evaluation. Three main types of filters used to accomplish this for EEG are i) high-pass filters (also called low-cut-off filters), ii) low-pass filter (also called high-cut-off filters), or iii) band-reject filters (or also called notch filters) – See Figure 1. Most EEGs evaluated in clinical day to day operations have a combination of these filter types applied before a reviewer assess clinical characteristics for triaging or diagnosis.³
Figure 1: A Low pass filter is a filter that passes low frequency components and blocks high frequency signals. A High pass filter is a filter that passes high frequency signals and blocks low frequency signals. Bandpass filter is a filter that passes a certain range of frequencies and blocks both lower and higher regions. A Band Reject filter is a filter that passes most of the frequency except a very narrow range of the frequencies.³
Because of their useful properties, filters are found at all stages during the EEG recording and review process. EEG amplifiers often contain an analog low-pass filter ahead of the analog-to-digital (AD) converter to address aliasing artifacts that are otherwise introduced due to the discrete sampling rate. However, most filters in EEG processing are digital and take place after the AD conversion. That makes filters omnipresent when working with EEG data and their settings will affect the look and shape of the EEG tracings on a reader’s screen. More in-depth analysis of filter times and filter theory.⁴
Wanted and Unwanted Effects of Filters on EEG Morphology
The way that many filters operate is to apply a weighted average of consecutive data points of the raw signal to obtain a smoothed, output (filtered) waveform. Depending on the type and width of this averaging window, specific frequency components disappear from the output waveform. The filtered signal may not show excluded frequencies anymore, but this was made possible after having created a causal relationship with the surrounding data segments. Figure 2 illustrates this principle.
Figure 2. Every sample of the output depends on multiple samples of the input, as illustrated in Figure 2 (top). Conversely, each sample of the input impacts several samples of the output (Figure 2, bottom). As a result, the signal that is being filtered is smeared along the temporal axis, and temporal relations between filtered and original waveforms are blurred.
Top: each sample of the output y is the sum of samples of the input x weighted by the impulse response h. For a causal filter, only past or present samples of the input make a contribution (black). For an acausal filter, future samples too can contribute (gray). Bottom: another way of describing this process is that each sample of the input x affects multiple samples of the output y, with a weight determined by the impulse response h.⁴
Filters that lead to this kind of temporal smearing are called causal filters and are frequently used in EEG assessments. However, causal filters are known to create ripples in the EEG data that will show up as slow waves in the EEG data. These causal filters create a phase shift but have the advantage that they can be applied in real-time to ongoing EEG data streams.
To avoid phase shifts and to get outputs much closer to the true biological signal, so-called forward/backward filters (or zero phase) filters are another option. Zero phase shift filters first run the filter in one direction and again in the other direction. As a result, any phase shift is mitigated and no temporal smearing occurs. However, the disadvantage of these zero-phase filters is that they can only be applied in real-time recordings with a significant delay because they have to wait for data to be recorded before they can run backwards.
Figure 3 illustrates the output of a causal (blue) or zero phase filter (green) when applied to a test signal (black). The output of the causal filter (blue) creates a well visible phase shift and relevant filter ripple along with a long overshoot. In contrast, the zero phase shift filter keeps the integrity of the main signal peak intact and only creates minor symmetrical ripples around the peak.
Figure 3. Temporal Response Function Estimated from Simulated Stimulus-Response Data. Black: “true” TRF. Thick blue: TRF estimated using response data that has been filtered by a causal filter (Butterworth band pass 1–10 Hz, order 4+4). Green: same with acausal filter (MATLAB’s filtfilt).⁴
Examples of Causal and Zero Phase Filters in EEG
The most noticeable difference between causal and zero phase shift filters on actual EEG data occurs for high pass filters in the delta range (<1.5Hz) because they can visibly alter the appearance of commonly occurring biological signal components of the EEG such as vertical or horizontal eye movements (i.e., blinks and saccades), sweat artifacts, and even specific epileptiform discharges (e.g. absence seizures). For an overview, see Figure 4.
Effects of causal filters in higher frequencies (>50Hz) certainly exist as well but these are much less noticeable due to much faster oscillations that have smaller amplitude and are harder to pick out visually.
Figure 4 – Here an example of two channels (FP1, FP2) filtered with a 1Hz causal filter (black tracings) or zero-phase filter (gray tracings) – causal filters introduce relevant slow wave filter ripples.
Implementation of Causal and Zero Phase Filters on the Zeto Cloud Platform
Most clinical EEG hardware or software manufacturers have filter master-settings that pre-determine the exact type and properties of the filters available in their products. That can result in situations in which the same biological signal may appear slightly differently depending on the manufacturer’s default digital filter settings. Zeto is improving the tradition by introducing features that enable users to easily switch between different filter types and settings to optimally control the use of filters while reviewing EEG data.
As a result, users can configure their filter preferences to match their individual viewing and training history, resulting in filter outputs that match their expectations. Instead of retraining themselves on a new system’s filter settings, they can now adjust filter attributes and reduce the time to a confident read significantly.
With Zeto, EEG data is saved in raw unfiltered (DC) formats that do not distort the original signal attributes. Subsequent digital filtering can then be used to match desired filter attributes. For example, Zeto can display data after running causal or zero phase shift filters and switch between these filter settings more easily, making it possible to compare which setting is preferred on the spot.
Figure 5 illustrates this filter switch approach on different data samples. The tiles on the left are filtered using zero phase filters and tiles on the right show the same data using causal filters of the same cut-off frequency. Switching between these filters reveals signal ripples, most noticeable for the blinks but also in other signal components.
1Hz Filter – left: zero phase; right: causal filters.
The benefits that filters provide are crucial to enable a confident clinical read that is not skewed by unwanted signals. However, filters can introduce artifacts on their own. The well trained EEG reader will need to be vigilant about possible filter artifacts in EEG signals and how these may affect the clinical assessment of the patient’s brain states. As Zeto, we encourage our users to match the available filter settings to their preferences to ensure a fast and efficient diagnostic process. For questions about how to best match your Zeto filter settings and establish adequate default settings, please contact our customer success team at support@zetoinc.com.
References:
Sinha, S. R., Sullivan, L., Sabau, D., et al. (2016). American Clinical Neurophysiology Society Guideline 1: Minimum Technical Requirements for Performing Clinical Electroencephalography. Journal of Clinical Neurophysiology, 33(4), 303-307. DOI: 10.1097/WNP.0000000000000308
ASET Board of Trustees. (2021, March 20). National competency skill standards for performing electroencephalography (EEG). ASET Website. Retrieved from https://www.aset.org/wp-content/uploads/2022/11/EEG_Competencies_FINAL.pdf (Page 4, Section 2.3)
ShareTechnote. (n.d.). RF – Filter. Retrieved from https://sharetechnote.com/html/RF_Filter.bak
De Cheveigné, A., Nelken, I. (2019). Filters: When, Why, and How (Not) to Use Them. Neuron. DOI: 10.1016/j.neuron.2019.02.039
EEG Techs continue to be the gold standard for EEG administration, their training and expertise is crucial for meeting the neurodiagnostic needs of hospitals. Unfortunately, there is a massive nationwide shortage of EEG techs in the United States, and this significantly impacts the delivery of essential neurodiagnostic services throughout the country. This shortage not only strains healthcare systems, and causes delays in diagnosis and treatment, but also places an immense burden on EEG techs.
Zeto’s portable full-montage EEG headset offers a solution to this crisis. By simplifying and streamlining the EEG process, Zeto helps hospitals and medical centers to deftly navigate staffing shortages or a lack of availability of EEG techs on nights and weekends.
Zeto offers an EEG solution with seizure detection, video, and remote monitoring services, enabling hospitals and outpatient settings alike to maintain high-quality neurodiagnostic services even in the face of such staffing constraints.
Enhancing Productivity and Hospital Service Capabilities for EEG Techs
In hospital settings, where the demand for EEG services is often high and continuous, the presence of a skilled EEG tech is invaluable. However, the current shortage of these professionals creates significant challenges. Zeto’s portable EEG headset is designed to address this gap, providing solutions that significantly enhance the efficiency and effectiveness of EEG services in hospitals.
Efficiency Improvements for EEG Techs:
Zeto’s headset simplifies the EEG setup and operation process. By reducing the time and effort required for placing electrodes and setting up, Zeto enables EEG techs to manage their workload with more ease.
EEG Techs can Delegate:
One of the key advantages of Zeto’s system is its ease of use, allowing EEG techs to quickly train other healthcare staff, such as nurses or other types of techs, such as respiratory therapists. If EEG tech is not available, support staff can step in. This capability is crucial for providing EEG services, especially during off-hours such as nights and weekends, or in the critical care and emergency departments.
Techs can Focus on Higher Level Duties:
With Zeto’s user-friendly system, EEG techs can dedicate more time to monitoring and annotating EEG readings, which are vital for accurate diagnoses. This shift in focus from setup to analysis enables EEG techs to apply their expertise where it matters most.
Upskilling for the Future:
As the healthcare industry evolves, there is a growing need for EEG techs to adapt and upskill. Technologies like Zeto not only provide immediate solutions to current challenges but also pave the way for techs to enhance their skills in areas like data analysis, remote monitoring, and advanced neurodiagnostic techniques.
Remote Validation of EEG Studies with Zeto’s Cloud Platform:
Zeto’s cloud platform enables EEG techs to remotely monitor EEG studies when the setup is performed by non-technical personnel. Utilizing live video, EEG techs can oversee EEGs in real-time from anywhere, ensuring the quality of each study. This remote capability is essential for maintaining high standards in EEGs, regardless of who performs the initial setup.
Use of Zeto’s portable EEG headset for hospitals is a significant step forward in managing the current EEG tech shortage. By enhancing efficiency, facilitating skill development, and ensuring continuous high-quality EEG services, Zeto helps hospitals to better manage their challenges, and to deliver excellent healthcare.
Improve Outpatient EEG Services Using Portable EEG
In outpatient settings, the EEG tech shortage presents unique challenges, particularly in terms of efficiency and patient throughput. Zeto’s wireless EEG headset addresses these challenges head-on, contributing to improvements in how EEG services are delivered in outpatient clinics.
Reduction in Setup and Cleanup Time:
Traditionally, EEG setup and cleanup can take up to an hour, burdening both the EEG tech and the patient. Zeto’s portable EEG system reduces this to just a few minutes.
Minimal Space Requirements and Increased Flexibility:
The need for a sink and extensive setup space, as required for conventional EEG, is eliminated with Zeto’s portable EEG headset. Clinics can conduct EEG tests with just a bed or chair, making better use of available space. This compact setup allows a single tech to manage multiple EEG sessions simultaneously, with EEG data accessible via the cloud.
Enhanced Patient Throughput:
With Zeto, the primary limit to conducting EEGs is the number of headsets available. This capability to run multiple sessions concurrently significantly increases patient throughput, a vital factor in busy outpatient settings.
Streamlined Data Management:
Zeto’s cloud-based system means that data transfer concerns are a thing of the past. EEG techs no longer need to spend time ensuring data is properly transferred and stored, as it’s automatically synced to the cloud and accessible for whomever needs it, instantaneously.
Focus on Value-Added Patient Care:
Freed from time-consuming setup and data management tasks, techs can focus more on direct patient care, education, and comfort. This shift not only enhances the patient experience but also provides more job satisfaction for techs.
Patient Satisfaction and Comfort:
Zeto offers a more comfortable, shorter, and cleaner experience for patients. The use of no-residue electrodes that do not use gels or pastes, means there’s no need for a patient to wash their hair afterwards. It works perfectly with different hair types, including kinky, coil, and braided hair.
Expanding EEG Setup Skills Across Your Team with Zeto:
In outpatient settings where EEG techs might not always be available, Zeto’s system offers a practical solution. Any staff member, such as a medical assistant, can be trained to do the EEG setup. This flexibility allows clinics to utilize their resources more efficiently, ensuring that EEG services are readily available when needed. With Zeto, clinics can schedule patients for EEGs swiftly, enhancing patient care and operational efficiency even with limited staffing.
Zeto’s portable EEG headset addresses the critical challenges posed by the EEG tech shortage. By enabling more efficient use of time and resources, reducing the need for extensive physical infrastructure, and enhancing the quality of patient care, Zeto is setting a new standard in outpatient neurodiagnostic services.
SANTA CLARA, Calif., November 13, 2023 (Newswire.com)
Zeto, Inc., an innovative EEG brain monitoring company, is excited to make two significant announcements as the company continues to expand the boundaries of brain monitoring.
Zeto is proud to announce its inaugural participation at the Neuroscience 2023 conference hosted by the Society for Neuroscience. Taking place from November 11-15, 2023, at the Walter E. Washington Convention Center in Washington, D.C., this event will bring together over 30,000 scientists, researchers, and clinicians making it the largest conference in neuroscience.
“At Zeto, we’ve consistently delivered substantial value to our clinical partners in hospitals and private practices. Now, we’re excited to bring the convenience of Zeto EEG to the forefront of your clinical research journey. The Society for Neuroscience conference is a remarkable opportunity for us to connect with the global scientific community and facilitate the use of EEG for brain monitoring,” said Florian Strelzyk, PhD, Chief Sales Officer at Zeto. “Zeto understands your need for ease of use, comfort, and a refined experience with EEG technology. We believe our products will unlock a world of new opportunities, enabling EEG researchers to step out of the lab and into research environments closely aligned with their interests. We invite attendees to visit our booth #2430 in the Exhibitor Hall to discover and experience our innovative EEG solutions for clinical trials and research.”
Zeto reaffirms its commitment to increasing accessibility to brain monitoring by sponsoring up to three EEG clinical trials in 2024. These trials aim to support advanced clinical research and bring innovative applications closer to full real-world implementation.
Each sponsored clinical trial will enjoy the following benefits:
WR19 EEG System: Each sponsored clinical trial will benefit from Zeto’s EEG device, an FDA-cleared, wireless, portable, dry-electrode, full 10-20 montage EEG headset with high-quality data collection and a fast and comfortable 5-minute setup.
Cloud Access: Access to HIPAA-compliant, cyber-security cleared cloud platform for efficient data storage, remote access, EDF export, and real-time LSL data streaming.
Disposable Electrodes: Zeto will provide disposable electrodes for up to 100 EEG recordings in each clinical trial. These electrodes are designed for comfort and ease of use, enhancing the participant experience.
TTL-based Triggering for ERP Recordings: If required, the Zeto system will include an additional component for real-time TTL-based triggering for evoked potentials, along with additional stimulus presentation software and hardware.
Training and Support: To ensure a smooth and successful implementation of Zeto’s EEG solutions, the company provides training and ongoing support to clinical trial teams.
To participate in this opportunity, interested research teams are invited to submit a 2-page proposal or project pitch by March 31st, 2024. Further details and submission guidelines can be found on the Zeto Clinical Trials Sponsorship webpage.
Zeto is dedicated to enhancing the accessibility of brain monitoring, and these initiatives are inspired by Zeto’s dedication to enhancing the accessibility of brain monitoring. For more information about Zeto, please visit Zeto’s website.
The American Heart Association (AHA) recommends prompt electroencephalography (EEG) neuroprognostication for post-cardiac arrest patients in their 2020 guidelines on cardiopulmonary resuscitation (CPR) and emergency cardiovascular care (ECC). The prompt use of EEG in post-cardiac arrest patients is important because it allows for early identification of brain injury and can guide decisions about the continuation of life-sustaining treatment.
Hypoxic-ischemic brain injury is a leading cause of morbidity and mortality in survivors of hospital cardiac arrest.1 Sadly, most of the post-resuscitation deaths are caused by the active withdrawal of life-sustaining treatment. The decision to actively remove life-sustaining treatment is made when a poor neurological outcome is expected. For this reason, it is critical to perform accurate neuroprognostication, as recommended by the American Heart Association (AHA) in their 2020 guidelines on cardiopulmonary resuscitation (CPR) and emergency cardiovascular care (ECC).2
Proper post-cardiac arrest neuroprognostication, or EEG after cardiac arrest, is essential to distinguish those who may achieve a meaningful neurological recovery from those who will inevitably have a poor neurological outcome.2,3
Who Should Receive Neuroprognostication After Cardiac Arrest?
The AHA recommends multimodal neuroprognostication on all patients who remain comatose after cardiac arrest (Level 1 recommendation).2 Multimodal neuroprognostication includes EEG, MRI, quantitative pupillometry, and serum neuron-specific enolase, among others. In addition to neuroprognostication, EEG testing is recommended to identify seizures and, if necessary, provide treatment.
Nonconvulsive seizures, for example, are common after cardiac arrest, and cannot be reliably detected without EEG.4 The American Academy of Neurology also provides data on its importance. Also, EEG after cardiac arrest should be used to rule out underlying ictal activity in cardiac arrest survivors with status myoclonus. The 2020 Emergency Cardiovascular Care Science with Treatment Recommendations (CoSTR) advises seizures to be treated when diagnosed in cardiac arrest patients with return of spontaneous circulation (ROSC).5
When Should Neuroprognostication After Cardiac Arrest Start?
Importantly, prognostic assessments should not be started too early. If they are administered too soon after the cardiac arrest and during initial post-resuscitation care, the results may appear worse than they actually are because of medications, or acute post-injury changes.6 Perhaps surprisingly, clinical prognostic testing such as pupillary light reflex should not be used for neuroprognostication until at least 5 days after ROSC (return of spontaneous circulation) in patients treated with targeted temperature management (TTM), in order for such testing to have prognostic significance.
Testing should not begin until the patient has been normothermic for at least 72 hours.6-8 Imaging or EEG to detect status myoclonus may begin as early as 24 hours after ROSC; two studies including 347 patients, showed the presence of status myoclonus within 72 hours of ROSC predicted poor neurological outcome with specificity of 97% to 100%.9,10 However, postanoxic status epilepticus may not manifest until 72 hours or more after ROSC and sedative drug dosages have been reduced, so waiting for neurological prognosis assessment is necessary.
How to Use EEG for Neuroprognostication After ROSC
The 2020 American Heart Association (AHA) Guidelines for Cardiopulmonary Resuscitation (CPR) and Emergency Cardiovascular Care (ECC) recommend the use of EEG after cardiac arrest in patients who remain in a coma after ROSC for the purposes of neuroprognostication.2
Findings that are consistent with poor outcomes include postanoxic status epilepticus and/or burst suppression 72 hours or more after ROSC.2 Another potentially useful electrodiagnostic test is the somatosensory evoked potential (SSEP).
SSEP testing is conducted by stimulating the median nerve and looking for a resulting cortical N20 wave. N20 SSEP waves that are absent bilaterally correlate with poor prognosis.2 Likewise, rhythmic periodic discharges on EEG are also consistent with poor prognosis.
Importantly, the AHA notes that the absence of EEG reactivity within 72 hours after cardiac arrest should not be used as the sole determinant of poor neurological outcomes. A lack of EEG reactivity during this time does not necessarily predict a poor neurological outcome.
Obtaining EEG after ROSC
Conventional EEG in the Intensive Care Unit is Critical Care and Cumbersome
While conventional EEG is an acceptable means to obtain EEG in the ICU, it is impractical. Post-cardiac arrest patients who need post-cardiac arrest care in the ICU will, as standard care, be intubated, and have central venous and possibly arterial lines, and intracardiac devices.
Conventional EEG after cardiac arrest is challenging. Attempting to obtain EEG signals through a dozen wires in a critical care setting without quality-limiting artifacts is challenging. Indeed, providing continuous conventional EEG in the ICU is a literal barrier to care for ICU or neurocritical care nurses and staff.
Zeto EEG – Wireless Full-Montage Monitoring For Use on Coma Patients After ROSC
According to the AHA, proper neuroprognostication could prevent withdrawal of life support as it will indicate the accurate neurologic prognosis of a patient who has a chance at successful neurological recovery. Thus, the AHA recommends performing multimodal neurologic prognostication including EEG in all patients who remain in a coma after ROSC following cardiac arrest.
Zeto has developed a full montage, 19-channel (10-20 system) wireless headset with dry electrodes for rapid EEG monitoring. The benefits of Zeto’s electrodes include no skin preparation, no cleanup, and no gel or paste residue. The electrodes are single-use and soft.
The Zeto EEG device collects high-quality EEG recordings and transmits them wirelessly to the cloud for remote viewing and interpretation. ZETO’s EEG platform also offers an FDA-cleared seizure detection and trending algorithm developed by Encevis.
The Zeto EEG headset can be placed after a short training, and the setup takes only 5 minutes – which is crucial for patients in a coma. Once placed, the Zeto headset provides continuous EEG monitoring for up to 5-6 hours.
Overall, prompt EEG for post-cardiac arrest patients is a vital aspect of proper neuroprognostication and plays an important role in determining prognosis in patients and guiding treatment decisions. It is important for healthcare providers, especially intensive care medical providers to be aware of the AHA guidelines and incorporate EEG into their standard care management of post-cardiac arrest patients.
When called upon to perform the difficult and highly consequential task of neuroprognostication, choose Zeto for EEG in the ICU.
References
Witten L, Gardner R, Holmberg MJ, et al. Reasons for death in patients successfully resuscitated from out-of-hospital and in-hospital cardiac arrest. Resuscitation. 2019;136:93-99. PMID:30710595 doi:10.1016/j.resuscitation.2019.01.031
Panchal AR, Bartos JA, Cabanas JG, et al. Part 3: Adult Basic and Advanced Life Support: 2020 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation. 2020;142(16_suppl_2):S366-S468. PMID:33081529 doi:10.1161/CIR.0000000000000916
Geocadin RG, Callaway CW, Fink EL, et al. Standards for Studies of Neurological Prognostication in Comatose Survivors of Cardiac Arrest: A Scientific Statement From the American Heart Association. Circulation. 2019;140(9):e517-e542. PMID:31291775 doi:10.1161/CIR.0000000000000702
Freund B, Kaplan PW. Myoclonus After Cardiac Arrest: Where Do We Go From Here? Epilepsy Curr. 2017 Sep-Oct;17(5):265-272. doi: 10.5698/1535-7597.17.5.265. PMID: 29225535; PMCID: PMC5716491.
Ryoo SM, Jeon SB, Sohn CH, et al. Predicting Outcome With Diffusion-Weighted Imaging in Cardiac Arrest Patients Receiving Hypothermia Therapy: Multicenter Retrospective Cohort Study. Crit Care Med. 2015;43(11):2370-2377. PMID:26284621 doi:10.1097/CCM.0000000000001263
Samaniego EA, Mlynash M, Caulfield AF, Eyngorn I, Wijman CA. Sedation confounds outcome prediction in cardiac arrest survivors treated with hypothermia. Neurocrit Care. 2011;15(1):113-119. PMID:20680517 doi:10.1007/s12028-010-9412-8
Berg KM, Soar J, Andersen LW, et al. Adult Advanced Life Support: International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations. Resuscitation. 2020. PMID:33098922 doi:10.1016/j.resuscitation.2020.09.012
Callaway CW, Donnino MW, Fink EL, et al. Part 8: Post-Cardiac Arrest Care: 2015 American Heart Association Guidelines Update for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation. 2015;132(18 Suppl 2):S465-482. PMID:26472996 doi:10.1161/CIR.0000000000000262
Ruknuddeen MI, Ramadoss R, Rajajee V, Grzeskowiak LE, Rajagopalan RE. Early clinical prediction of neurological outcome following out of hospital cardiac arrest managed with therapeutic hypothermia. Indian J Crit Care Med. 2015;19(6):304-310. PMID:26195855 doi:10.4103/0972-5229.158256
Zhou SE, Maciel CB, Ormseth CH, Beekman R, Gilmore EJ, Greer DM. Distinct predictive values of current neuroprognostic guidelines in post-cardiac arrest patients. Resuscitation. 2019;139:343-350. PMID:30951843 doi:10.1016/j.resuscitation.2019.03.035
Zeto has been providing value to clinical customers in hospitals and private practices for some time now. However, we have recently extended our offerings to CROs and cutting-edge researchers in the field of medical research. A. Mark Mento, director of enterprise sales here at Zeto, discusses the advantages of Zeto’s dry EEG headset for researchers, highlighting its ease of use, comfort, and potential to bring EEG out of the lab and into the medical research environment.
Zeto recently introduced new features for clinical research applications. Where does Zeto fit into the research world?
Zeto offers a unique solution within the research world as our EEG for research represents a combination of technology from both the medical device and academic research space.
Our EEG for clinical research is particularly useful for studies that involve participants from clinical populations, or are conducted in a clinical environment. The Zeto system is fully FDA-cleared, ensuring compliance with rigorous medical standards for data quality and privacy, ensuring an easier Institutional Review Board (IRB) process.
Because the Zeto system conforms to medical standards regarding electrode position and data quality, it is compatible with large clinical EEG datasets. Researchers utilizing these databases to train biomarkers and machine learning algorithms will be able to apply their work directly to Zeto data.
The Zeto system achieves medical conformity while allowing a much faster and more comfortable setup without requiring gel, scalp prep. The system allows for real-time data streaming via LSL, remote data access via API, and high-fidelity triggering for visual evoked potential tests.
What specific advantages does Zeto offer to researchers over conventional wet electrode systems in terms of usability?
Gel-based systems take a while to set up and are uncomfortable for participants. They usually require some degree of scalp preparation (scratching the electrode site to remove dead skin and other material) and they leave gel in the hair that must be showered out.
When gel-based EEGs are used for medical research, it is difficult for a participant to leave a test and return to class or work. Additionally, medical-style gel EEG systems require a qualified technologist to measure the head and to apply electrodes in the correct place.
The Zeto EEG system provides two advantages over this process.
First, the system uses disposable electrodes with a dry soft-tip coating. This allows for proper electrical conductivity with the scalp without requiring prep or gel.
Second, the headset is mechanically adjustable to the head size of the participant, ensuring that the electrodes are in the correct 10-20 positions. This feature allows individuals without knowledge of electrode replacement and EEG to set up the system accurately with minimal training.
Together, these features allow the system to be set up very quickly on most participants, typically within 5 minutes. It is also much more comfortable for the participant and when the test is over the system is removed instantly with no residual gel left behind.
What research-specific features does the system include?
We offer a range of specific features on our eeg for medical research that cater to the unique and specific needs of researchers.
For example, the system includes a comprehensive API for both real-time local data streaming, and cloud-based data access. Zeto EEG data can be integrated directly into experiments, utilizing the full range of data access capabilities.
The Zeto platform can also accept epoch trigger inputs for event-related potentials (ERPs) and other timing-sensitive experiments, expanding the possibilities for research applications.
Overall, Zeto provides cutting edge features for both clinical and research applications, offering researchers enhanced usability, accurate data acquisition, and the flexibility to conduct various experiments.
Can you provide examples of potential future applications of EEG technology in research, and how Zeto’s system might contribute to advancements in these areas?
EEG technology is expanding in medical and mental health applications beyond the traditional domains of epilepsy and stroke.
Researchers are increasingly exploring the use of machine learning techniques applied to EEG data for potential screening, diagnostics and interventions. Information from EEGs used for research could help diagnose certain conditions, or to evaluate and quantify the effects and success of certain treatment paradigms.
Zeto’s EEG system is well-positioned to contribute to these advancements in several ways.
First, the Zeto EEG headset has direct medical applicability. Since data from the headset is functionally identical to traditional medical EEG in terms of data quality and electrode position, any pioneering research conducted using Zeto’s system can directly translate to the clinical market.
Second, Zeto’s system provides a practical and comfortable solution for running participants in a clinical environment. It offers ease of setup and enhanced practicality, streamlining the process for researchers and facilitating data collection in clinical settings.
Can you share some information about Zeto’s current research customers and the successful projects?
The Zeto EEG for research is new in the research space, specifically. But we already have a diverse range of research customers.
Our products have been used in clinical trials on three continents (and counting). Additionally, we have established collaborations and installed equipment in numerous academic research labs in universities and teaching hospitals.
These partnerships highlight the growing adoption of Zeto’s system within the research community, leading to successful projects across various domains.
What types of support or training Zeto provides to researchers who are new to working with EEG technology?
For Zeto systems purchased in North America, we provide on-site training. Our dedicated customer success team is readily available to address any inquiries or support-related questions promptly.
Video EEG is an important tool in diagnosing and monitoring patients with epilepsy or other neurological conditions. It helps distinguish physiologic or external artifacts from epileptic seizures or epileptiform discharges associated with seizures. Video EEG also helps to differentiate epileptic seizures from psychogenic nonepileptic spells that are mistaken for seizures and other episodic abnormal movements associated with other conditions, such as tic disorders, tremor, or periodic limb movements of sleep. Simultaneous video and EEG recordings enable the establishment of correlations between abnormal movements and abnormal wave activity.1,2,3,4
For awake patients, video can identify sources of noise such as muscle artifacts, blinking, chewing, forehead wrinkling, and even ear wiggling. For unconscious patients, video can identify external sources of artifact, such as electronic devices in the ICU (for example, an artificial respiration device). The inclusion of video in the EEG improves the ability to accurately diagnose a patient. Additionally, video can confirm correct electrode placement and headset positioning.
In this blog, we discuss the benefits of using video integration in EEG and what Zeto EEG can offer.
Different noise sources in EEG
EEG recordings can be impacted by various sources of noise and interference, including physiological noise, environmental noise, EEG electrode placement, electrical artifacts from EEG electrode malfunctions or from external electrical devices, and motion artifacts. These artifacts can make it difficult to distinguish genuine brain activity from noise, compromising the ability to accurately interpret EEG recordings.
Physiological noise arises from the body’s internal processes like muscle contractions, heartbeats, and eye movements, generating electrical signals that can interfere with the EEG recording. Environmental noise, on the other hand, encompasses external disturbances like electrical noise from equipment, electromagnetic interference, or ambient noise, which can introduce unwanted signals into the EEG data. Electrical artifacts can also be produced by the EEG equipment itself, resulting from issues like poor grounding, incorrect amplifier settings, or malfunctioning electrodes. Lastly, motion artifacts arise from bodily movements such as head motions, jaw opening and closing, or eye blinks, leading to distortions in the EEG signal and complicating accurate data interpretation.
To account for artifacts and enhance the interpretation of EEG recordings, video recording is often used in conjunction with EEG to identify and exclude sources of noise from the data.
Video EEG: Complement or Necessity?
Video is particularly useful for identifying artifacts related to movements or other physical activities that may produce electrical signals in the EEG recording. For example, if a patient moves their arm during an EEG recording, this movement can cause changes in the electrical activity picked up by the electrodes, which is recorded in the EEG. By observing the video recording, it is possible to identify the movement as an artifact and avoid misinterpreting the EEG data. This helps ensure that EEG signals identified as epileptiform activity represent genuine brain activity, rather than artifacts from other sources. Epileptiform waves can sometimes be difficult to distinguish from artifacts, as they can have similar characteristics in the EEG recording.
Video can also help diagnose and classify epileptic seizures and distinguish them from psychogenic nonepileptic spells and episodic abnormal movements due to other medical conditions that are not epileptic seizures.1,2,3,4,5 For example, if a patient experiences an epileptic seizure during an EEG recording, the video can help correlate the EEG signal with the visible movements and behaviors of the seizure. A psychogenic nonepileptic spell will show motion artifacts on the EEG but will not show underlying abnormal brain wave activity. Furthermore, certain behaviors such as squeezing the eyes shut while shaking, awareness during the seizure, and returning to baseline mental status right after the event can suggest a psychogenic cause.5
Sometimes tics, tremors, muscle twitching, and other abnormal movements in the tongue or a limb or digit can be mistaken for epileptic seizures, particularly in the ICU setting where subclinical seizures occur more frequently. Subclinical seizures are epileptic seizures that are not associated with characteristic abnormal movements usually associated with seizures. Video EEG can determine if the suspicious subtle abnormal movements are in fact due to epileptic seizures in most cases. If the abnormal movements represent subclinical epileptic seizures, they would be expected to correlate with epileptic seizure brain wave activity on the EEG.
Video recording provides additional information about the patient’s behavior or movements at the time of a seizure or seizure-like event, which is called a seizure’s semiology.1,3,5 Gaze deviation and arm stretching right before the seizure or at seizure onset can point to the seizure origin in the brain and inform localization of seizure foci relative to brain hemispheres or specific areas such as the motor cortex, supplementary motor areas, and frontal and parietal eye fields. Seizure semiology also includes the subjective sensations and experiences immediately preceding and during a seizure. It is critical to the diagnosis and classification of seizure disorders, which in turn affects the treatment plan. A video EEG is critical to presurgical evaluation prior to epilepsy surgery to diagnose and classify epileptic seizures when present and avoid unnecessary surgery due to psychogenic nonepileptic spells or other episodic abnormal movements not due to epileptic seizures.1
Zeto EEG: Seamless Compatibility with Any Camera, Reimbursable, Supports Up to Four Cameras
Zeto’s video integration feature reshapes the users expectations of what is possible with modern technology. The Zeto system enables simple camera controls (zooming and panning) through the cloud, ensuring simple usability.
One of the most appreciated features by users of the Zeto platform is its compatibility with any integrated or USB enabled camera. That eliminates the need for additional camera purchases and helps operators to use Zeto EEG more easily across a wide range of settings and recording locations. The Zeto Cloud Platform supports the use of up to four cameras simultaneously, providing medical professionals with the flexibility to monitor patients from multiple angles.
In addition to its compatibility with integrated and external USB cameras, Zeto offers the simple integration of IP cameras, whether they are wired or wireless. This capability is particularly beneficial when medical personnel already have pre-installed IP cameras in the room, as they can add these cameras to the Zeto Cloud Platform for a seamless integration. IP camera integration often depends on existing local IT infrastructure and cybersecurity guidelines which can result in longer integration timelines compared to integrated or USB – based camera solutions. But with the added configuration time come additional conveniences and features (such as lowlight or night vision capabilities) which often make this extended setup more than worth it.
Manually able to point or use of remote pan/tilt features
Automatic or manual zoom options available
Available in most devices
With any of these camera options, maximum image resolution depends on the utilized camera hardware, but integrated, USB, or IP camera options are available with Ultra 4k resolutions or higher. The consideration then becomes data storage size and related storage costs more than the technical ability – providers may still choose to save data in lower resolution settings simply to save storage costs.
Another powerful tool of the Zeto Cloud platform is the ability for the clinician to remotely access the recording through any device connected to the internet. Allowing for real time analysis when the provider is not present in the recording environment.
Medical practitioners will find the real-time monitoring capability invaluable, enabling them to observe patients with precision. Additionally, Zeto’s video EEGs, utilizing the integrated cameras, are eligible for reimbursement through CPT codes, specifically for EEGs lasting 24 hours or longer.
By utilizing video, Zeto ensures accurate positioning of the headset and proper electrode placement. This attention to detail guarantees the collection of reliable and precise EEG data.
In conclusion, video recording is an important complement to EEG recordings. It helps identify and exclude sources of artifact in EEG and confirms the presence of epileptic seizure activity and epileptiform discharges important for the diagnosis and classification of epileptic seizures. Video EEG also helps to identify psychogenic nonepileptic events and episodic abnormal movements from other medical conditions mistaken for epileptic seizures. By using video in conjunction with EEG, clinicians can improve the interpretation of EEG recordings, leading to more accurate diagnoses and better treatment outcomes for patients with neurological conditions.
Zeto’s video integration feature enhances convenience and accuracy, ultimately resulting in better diagnosis and treatment outcomes for patients.
Prestigious International Annual Awards Program Recognizes Standout Digital Health & Medical Technology Products and Companies
SANTA CLARA, Calif., – May 22, 2023 – Zeto, Inc , a commercial-stage medical technology company transforming EEG brain monitoring for health care, today announced that it is the recipient of the “ Best New Technology Solution for Neurology ” award in the 7th annual Awards program conducted by MedTech Breakthrough, an independent market intelligence organization that recognizes the top companies, technologies, and products in the global health and medical technology market.
Zeto makes it possible for any healthcare facility to offer a convenient, turnkey EEG solution to their patients. The company provides the first and only FDA-cleared, wireless, dry EEG headset that can be put on by any medical staff within five minutes.
The Zeto Cloud provides high-performance, real-time viewing, analysis, and reporting. Live video and data can be interpreted seamlessly via the cloud, and is further enabled by AI-based, FDA-cleared seizure detection. Zeto also offers optional continuous monitoring by certified EEG technologists, and interpretation services by board-certified neurologists.
EEG device innovation, important among current neurology solutions, highlights include active electrode technology, 10-20 positioning, soft, flexible electrodes, comfort for patients, advanced noise shielding and noise cancellation, and clinical-grade signal quality. Built to feel like a bike helmet, the device offers easy head size adjustment via adjustable dials.
“The massive unmet need for brain monitoring extends beyond neurology departments to ICUs, EDs, remote monitoring, telehealth, and physician offices. At Zeto, we want to eliminate any negative experience with a product that is both convenient for the operator and comfortable for the patient,” said Aswin Gunasekar, CEO of Zeto, Inc. “Receiving the ‘Best New Technology Solution for Neurology’ award from MedTech Breakthrough is a testament to the value our product is delivering.”
The mission of the MedTech Breakthrough Awards is to honor excellence and recognize the innovation, hard work, and success in a range of health and medical technology categories, including Telehealth, Clinical Administration, Patient Engagement, Electronic Health Records (EHR), Virtual Care, Medical Devices, Medical Data and many more. This year’s program attracted more than 4,000 nominations from over 17 different countries throughout the world.
“The portable nature of this EEG headset from Zeto has amazing potential for patients and practitioners, especially as it offers similar signal quality to traditional devices,” said James Johnson, managing director, MedTech Breakthrough.
“EEG is an important diagnostic technique for several neurological issues. However, the biggest limiting factor is that conventional EEG needs a trained operator to administer the test, and if a facility doesn’t have a neurologist on call, they are unable to read the EEGs. Congratulations to Zeto for transforming the way we perform EEGs, with tangible and real results.”
Zeto, Inc. is an award-winning, privately held medical technology company located in Santa Clara, CA, that is focused on transforming the way electroencephalography (EEG) is performed at hospitals and clinics. Zeto’s revolutionary FDA-cleared EEG headset and cloud platform bring the traditional EEG procedure to the 21st century. The company plans to leverage its hardware and software technology to improve noninvasive monitoring of the brain’s electrical activity and achieve better outcomes for neurological conditions such as epilepsy, sleep disorders, autism, stroke, and concussion.
To learn more about Zeto’s neurology solutions including remote EEG monitoring, please visit: https://zeto-inc.com or email us at info@zetoinc.com.
