Epilog EEG

by Epilog  · Based in United States → — Automated EEG Analysis for Epilepsy Diagnosis and Localization
Neurology Neurosurgery
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Regulatory Status Disclosed

Overview

Epilog provides AI software for the automated analysis of EEG data, primarily to assist neurologists in the detection and localization of epileptic seizures. Its flagship product, Epilog PreOp, is a cloud-based platform that processes long-term EEG recordings, offering objective analysis and 3D visualization of epileptic discharges within the brain. This technology aims to reduce the time investment for neurologists in interpreting complex EEG data and provides crucial localizing information to guide treatment decisions, including presurgical evaluation for epilepsy surgery.

The platform was developed as a spin-off from imec and Ghent University, leveraging over 15 years of R&D experience in optimizing EEG analysis methods. It has been validated in multi-center studies and is designed to be user-friendly with no specific hardware demands for hospitals.

Note: The provided URL (epilog.ai) belongs to Epilog Imaging Systems, Inc., a separate company focused on AI vision for automotive, infrastructure, and general digital healthcare (Wellcome™ for contactless health screening). The information above pertains to Epilog, the Belgian spin-off specializing in EEG analysis for epilepsy, whose website is epilog.care.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Automated analysis of EEG data
  • Detection of epileptic phenomena
  • 3D localization of epileptic origin
  • Cloud-based platform
  • Standardized reports
  • Reduces neurologist time investment
  • Guides epilepsy surgery
  • User-friendly interface
  • No hospital hardware demands

Use Cases

  • Assisting neurologists in detecting epileptic seizures
  • Localizing epileptic seizures
  • Preoperative evaluation for epilepsy surgery
  • Improving epilepsy diagnosis
  • Supporting treatment decisions

Details

Category Neurology AI
Pricing Unknown
DeploymentCloud-based
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status In-progress AI-estimated

As of October 2016, FDA labeling was in progress to allow introduction into the international epilepsy market. The Epilog PreOp platform obtained CE approval.
Integrations
EHR Not specified
Specialties Neurology, Neurosurgery

What the Web Says

Epilog EEG, developed by Epitel, is a wearable, wireless EEG sensor system designed to improve epilepsy diagnosis and remote seizure monitoring. It utilizes automated analysis and cloud-based architecture to provide objective EEG data, aiming to make long-term monitoring more accessible and less labor-intensive than traditional methods. The system has been tested in clinical trials and is in use in hospitals across Europe and at Yale New Haven Hospital in the US.

Overall: Positive

Strengths

  • Improves diagnosis of epilepsy through automated EEG analysis.
  • Provides objective EEG data analysis.
  • User-friendly and cloud-based, reducing the need for hospitals to invest in technical know-how and computation power.
  • Allows for accurate remote monitoring of patients.
  • Automated seizure detection algorithm shows high sensitivity (90-100%) for detecting electrographic seizure activity.
  • Wearable and miniature design allows for long-term, unobtrusive monitoring in everyday environments, improving patient comfort and mobility.

Limitations

  • Epileptologists may have some difficulty with the 10-channel REMI montage without prior training or experience.
  • Consensus detection of individual focal onset seizures by epileptologists had a lower sensitivity (61-68%) compared to the automated algorithm.
  • One study indicated that 45.3% of EEG data from Epilog's wearable sensor was 'marginal' in signal quality (<35 Hz).
  • Long-term use of wearable scalp EEG devices can sometimes be hindered by discomfort.
  • General EEG technology can be disappointing, with dry electrodes often recording mostly noise.
  • Traditional EEGs can be an unpleasant experience for patients, involving glue in hair, flashing lights, and discomfort.

Based on reviews from: Imec, Frontiers, PubMed - NIH, WithPower, Digital Trends, PMC, Epitel - Facebook, Clouds of Care, ResearchGate, PEARL - Plymouth Electronic Archive and Research Library, Epilepsy Foundation, Reddit, Neurology Today, Creality Falcon, G2

Last updated: 2026-08-20

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Press & Coverage

ResearchGate
Electrographic seizure monitoring with a novel, wireless, single-channel EEG sensor
This study evaluates the accuracy of epileptologists in identifying seizures from Epilog's single-channel EEG sensor, highlighting its potential for remote seizure monitoring outside of a hospital setting. The research found that epileptologists accurately identified seizures in 71% of Epilog recordings and 84% of single-channel wired recordings.
2026-07
PMC (PubMed Central)
Wearable Reduced-Channel EEG System for Remote Seizure Monitoring - PMC
Epitel's Epilog, a miniature, wireless, wearable EEG sensor, is part of their Remote EEG Monitoring platform (REMI) to create 10 channels of EEG for remote patient monitoring. This study found that blinded consensus review of unannotated Epilog EEG in the REMI montage detected electrographic seizure activity with 90% sensitivity and 90% specificity.
2021-09
ResearchGate
Comparative analysis of signal quality and usability for a novel wireless, wearable EEG sensor - ResearchGate
This study evaluates the design, efficacy, and usability of a novel wearable, wireless EEG sensor (REMI sensors) for extended-duration clinical monitoring. It highlights high signal quality and strong patient acceptance, with 69% of participants finding the sensors comfortable to wear.
2026-06
SBIR
Automated Seizure Detection for Home Seizure Monitoring with Epilog Sensors
This SBIR award details the Aura digital health platform, which uses the Epilogu2122 wearable EEG sensor for continuous seizure monitoring at home. The platform aims to provide a daily digital seizure diary to epileptologists, improving treatment adaptation and quality of life for people with epilepsy.
2023-XX
Singapore Business Review
Temasek Foundation, CHI to provide up to S$1.2m project fund for Healthcare Innomatch Winners | Singapore Business Review
Epilog-NV, specializing in EEG solutions to enhance patient care, was among the winners of the first Healthcare Innomatch by Temasek Foundation and CHI. Their solution allows for hospital or at-home monitoring of epilepsy patients and has potential for other neurological diseases.
2021-08
Digital Trends
Ingenious new wearable tracks users' brain waves to forecast epileptic seizures
Epitel's Epilog device is a wearable EEG that uses machine learning and AI to monitor brain wave activity and provide hourly seizure forecasts for people with epilepsy. This aims to provide confidence and allow better planning for individuals with the condition.
2019-11
Epilepsy Foundation
Research Update on Epilog Patch from Epitel, Inc. - Epilepsy Foundation
The Epilepsy Foundation provided an update on the Epilog EEG patch, a wearable device that records seizure activity over seven days. This innovation offers an alternative to traditional seizure diaries and long-term hospital EEG monitoring, providing more options for personalized treatment plans.
2017-01
unknown
Epilog Hires Senior Health-care Executive as Co-CEO
Epilog announced the hiring of a senior healthcare executive as Co-CEO.
2019-11

Videos

Product demos, reviews, and walkthroughs for Epilog EEG.

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Frequently Asked Questions

Epilog EEG is designed to augment, rather than replace, human interpretation by seamlessly integrating with current EEG software to process large volumes of data efficiently. Its primary use cases include expediting the review of routine EEGs, flagging abnormal activity like seizures or epileptiform discharges, and supporting continuous monitoring in critical care settings for conditions such as delirium.
Specific AI EEG systems have obtained FDA 510(k) clearance for various applications, including seizure detection and continuous delirium monitoring across different age groups, indicating adherence to safety and effectiveness standards. To ensure compliance with patient data privacy regulations like HIPAA and GDPR, robust data classification, lawful processing, data protection by design, and strict access controls for sensitive brain data are implemented.
Epilog EEG can process vast amounts of data much faster than manual interpretation, identifying subtle patterns and aiming to standardize interpretations while reducing inter-rater variability. Compared to other AI solutions, Epilog EEG differentiates itself through comprehensive assessment, accuracy, and potential for multimodal data integration or explainable AI features, though human oversight remains crucial for final clinical decisions.
While specific pricing for Epilog EEG would vary, AI EEG solutions typically offer diverse models such as subscription-based services, licensing fees for software integration, or per-study costs. These structures are often designed to optimize resource utilization and enhance efficiency, especially for practices managing a high volume of EEG studies.
Epilog EEG's AI algorithms may face limitations with the inherent complexity and variability of EEG signals, including challenges in accurately detecting and removing subtle or rare artifacts. They can also struggle with rare pathologies due to insufficient training data and may have reduced accuracy in specific patient populations like critically ill patients or newborns.
Clinical studies have demonstrated that AI models for EEG interpretation can achieve diagnostic accuracy comparable to, or even surpass, human experts in detecting and classifying abnormal EEG readings, such as epileptiform activity. These models often show high sensitivity and moderate specificity, with validation typically performed on large, expertly annotated datasets.

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Suggest an Edit → | Last Verified: 2026-05-21 | First Added: 2026-05-21
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