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Heartbeat analysis could spot epileptic seizures

NCT ID NCT03369522

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study aims to create an algorithm that detects epileptic seizures by continuously analyzing the heart's electrical activity (ECG). Researchers will use data from 40 epilepsy patients who had seizures recorded during long-term video-EEG monitoring. The goal is to see how accurately the algorithm can identify seizures and how quickly it can do so.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this algorithm could enable real-time seizure detection using a simple heart monitor, potentially improving safety for people with epilepsy.
What could go wrong
This is a small, early-stage study focused on algorithm development, not a treatment. The algorithm may not work reliably in real-world settings or for all seizure types.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

40 people

The number who actually took part.

Started

Dec 2017

Finished

Dec 2019

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

patients with epilepsy for whom a long-term video-EEG monitoring is required as part of their management

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * patients with epilepsy * with a long-term video-EEG recording * 1 (or more) seizure (s) recorded * onset seizure clearly defined on the basis of the EEG Exclusion Criteria: * bad quality of the Electrocardiogram recording * pace-maker * non sinus rhythm

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • Ch Bethune

    Béthune, France

  • Ch de Valencienne

    Valenciennes, France

  • Chu Amiens Salouël

    Salouël, France

  • Hôpital Roger Salengro, CHU

    Lille, France

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