encevis

by AIT Austrian Institute of Technology  · Based in Austria → — Automating EEG analysis.
Critical Care Neurology

Contact for pricing
Regulatory Status Disclosed

Overview

encevis, developed by the AIT Austrian Institute of Technology, is an automated EEG analysis and visualization software suite designed to streamline electroencephalogram interpretation. It is primarily utilized by neurologists, epileptologists, and intensivists across clinical settings such as epilepsy monitoring units (EMUs), intensive care units (ICUs), and neurophysiology research laboratories.

The software integrates directly into the clinical workflow, either as a real-time bedside monitoring tool during EEG recording or as an offline review application. It is compatible with major EEG file formats and manufacturers, and it supports the DICOM standard for neurophysiology data, allowing clinicians to review processed data within their existing viewers or the native encevis interface.

Key capabilities of the platform include:

  • Seizure and Spike Detection: Automated identification of epileptiform activity and transient waveforms.
  • EEG Trending: Compressed graphical overviews of multi-hour recordings, including amplitude-integrated EEG (aEEG) and burst suppression monitoring.
  • Artifact Reduction: Targeted filtering to minimize physiological and environmental noise without altering underlying cerebral patterns.
  • Source Localization: Mathematical modeling to estimate the anatomical origin of detected spikes and seizures within the brain.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Artifact reduction
  • Seizure detection (high sensitivity, classified types)
  • Spike detection (accurate and robust)
  • EEG trending (including rhythmic patterns, aEEG, background frequency, burst suppression)
  • Source localization (3D localization of spikes and ictal activity)
  • EEG viewer (modern, intuitive, supports most EEG formats, DICOM standard)
  • Burst suppression detection
  • Amplitude-integrated EEG (aEEG)
  • Seizure burden calculation
  • Electrographic Status Epilepticus (ESE) detection

Use Cases

  • Epilepsy diagnosis and therapy
  • Intensive Care Unit (ICU) monitoring
  • Routine EEG analysis
  • Long-term EEG monitoring
  • Research

What Physicians Need to Know

EEG Interpretation AI
Automates EEG analysis, including seizure and spike detection, artifact reduction, and trending, to reduce expert workload and improve interpretation quality. Supports the new DICOM standard for neurophysiology data.
Seizure Detection
Offers world-leading, highly sensitive (90% sensitivity with low false alarm rates) and reliable detection of electrographic epileptic seizures of all kinds, validated in clinical studies. Classifies seizure types and is suitable for epilepsy monitoring units and ICUs.
Neurodegenerative Disease Screening
Involved in the 'Braincheck' project, which utilizes AI to evaluate EEG brain waves during cognitive tasks for simple and inexpensive early diagnosis of dementia, suitable for large-scale screening.
Triage Prioritization Speed
Participates in the 'EEG4Stroke' project, aiming to enable paramedics to accurately triage suspected stroke patients on-site using EEG, facilitating rapid decision-making and potentially reducing door-to-needle times.
Brain MRI/CT Analysis (Source Localization)
Provides fast 3D source localization of spikes and ictal EEG activity, supporting visualization as a color-coded overlay on structural MRI directly within the review software.
Mobile Notification System
Through integrations with platforms like Zeto, encevis algorithms facilitate near real-time notification of ongoing clinical seizures to medical staff.
Physician Tip

Encevis serves as a powerful AI-driven assistant for EEG review, significantly enhancing efficiency in identifying seizures, spikes, and trends, particularly in epilepsy and ICU settings. While it provides highly reliable and validated automated analysis, physicians should always integrate its findings with the raw EEG data and comprehensive clinical context. It is a support tool to streamline review and improve patient safety, not a replacement for expert clinical judgment or real-time alarm systems.

Encevis is designed for flexible integration into existing workflows. It is available as an integrated component within many EEG systems and can also function as a standalone application or a software library for seamless integration by EEG manufacturers. It supports the new DICOM standard for neurophysiology data. Key integrations include alpha trace medical systems, SIGMA Medizin-Technik GmbH (Neurowerk), Micromed, UNEEG, Deymed, and Zeto.

Details

Category Neurology AI
Pricing Contact for pricing
DeploymentOn-premise (standard PC), integrated into external EEG systems via API, standalone desktop application, bedside monitoring, offline review.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

encevis has received FDA clearance for its seizure detection and trending algorithms. The latest version, V2.1, received FDA clearance for automatic Electrographic Status Epilepticus (ESE) detection and seizure burden calculation. It is intended for the review, monitoring, and analysis of EEG recordings to aid neurologists in the assessment of EEG in adult patients (>=18 years).

Integrations
EHR Not specified
Specialties Critical Care, Neurology

What the Web Says

Encevis is an AI-powered software designed to automate and enhance EEG analysis for neurologists, particularly in epilepsy and intensive care settings. It aims to make EEG diagnostics more efficient and improve patient care by providing tools for seizure detection, spike detection, artifact reduction, and EEG trending. The software has undergone clinical studies and received CE certification and FDA clearance, with ongoing development to expand its capabilities, including for pediatric patients.

Overall: Positive

Strengths

  • High sensitivity in detecting EEG recordings with ictal and interictal epileptiform activity.
  • Can significantly reduce the workload of neurophysiologists by acting as a screening tool for normal EEGs.
  • Offers a modern and intuitive EEG viewer that supports most EEG file formats.
  • Provides highly reliable seizure detection, validated in clinical studies, with high sensitivity and low false alarm rates.
  • Includes accurate and robust spike detection with an easy-to-use review tool.
  • Features artifact reduction, source localization, and EEG trending for quick assessment of brain activity.

Limitations

  • Limited specificity necessitates neurophysiological review to validate positive findings.
  • Cannot replace expert review and qualified experts in real-time monitoring or analysis.
  • May sometimes incorrectly annotate normal recordings as abnormal.
  • Detection sensitivity varies by seizure type and duration.
  • Source localization results are not always unambiguous and may differ from actual source position.
  • Artifact reduction does not remove all interference and can change areas of the EEG showing cerebral activity.

Based on reviews from: PubMed, encevis.com, accessdata.fda.gov, PMC - NIH

Last updated: 2026-07-20

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Videos

Product demos, reviews, and walkthroughs for encevis.

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Frequently Asked Questions

encevis is designed to integrate with various EEG systems, either as a seamlessly embedded software library or as a standalone application. It can be used for both real-time monitoring during EEG recordings and for offline review and analysis, supporting efficient workflows in hospitals or private practices.
encevis automates and assists with several key EEG analysis tasks, including highly sensitive seizure detection, accurate spike detection, artifact reduction, and source localization of epileptic activity. It also offers EEG trending for quick overviews of long recordings and detection of rhythmic and periodic patterns.
encevis is certified according to MDR (Medical Device Regulation) and FDA standards, indicating its adherence to stringent medical device regulations. The software is developed with a focus on improving patient safety and diagnostics, and it is intended to be used by qualified medical personnel.
While encevis demonstrates high sensitivity in detecting epileptiform activity, its specificity can be limited, meaning it may sometimes incorrectly flag normal recordings as abnormal. Therefore, it is intended as a support tool and does not replace the necessity for expert neurophysiological review to validate findings.
encevis is explicitly designed as a supplementary tool to aid qualified physicians, medical technicians, and nursing staff in EEG analysis, not to replace expert neurophysiologist review. Its high negative predictive value suggests it can effectively pre-screen EEGs without abnormalities, thereby reducing workload, but expert validation of positive findings remains crucial.
Alternatives to encevis in AI-powered EEG analysis include other commercial software packages like Persyst 14, which also offers seizure detection. Additionally, various open-source tools and platforms such as EEGLAB, FieldTrip, and MNE-Python are available, primarily used in research settings for comprehensive EEG/MEG data analysis.
Specific pricing details for encevis are not publicly disclosed and typically require direct contact with the vendor for a trial or quote. However, medical software often offers various licensing models, which may include perpetual licenses, subscription-based models, or tiered pricing based on features and usage.

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Suggest an Edit → | Last Verified: 2026-04-20 | First Added: 2026-04-20
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