Heartbeat analysis could spot epileptic seizures

NCT ID NCT03369522

Completed Knowledge-focused Sponsor: University Hospital, Lille Source: ClinicalTrials.gov ↗

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.

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Conditions

The condition(s) this trial relates to.

epilepsy visual epilepsy

As listed by the trial registrant

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

ELECTROCARDIOGRAPHY EPILEPSY SEIZURES

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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