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Predicting Epileptic Seizures Using Biometric Sensors - A Pilot Study Protocol.

Anja Davis Norbye1, André Henriksen1, Gunnar Hartvigsen1

  • 1UiT The Arctic University of Norway, Norway.

Studies in Health Technology and Informatics
|August 23, 2024
PubMed
Summary
This summary is machine-generated.

This study explores using wearable sensors to detect and predict epileptic seizures. Biometric data may offer new biological indicators for seizure forecasting in epilepsy patients.

Keywords:
Empatica EmbracePlusepilepsyfeasibility studym-healthpredictive factors

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Area of Science:

  • Neurology
  • Biomedical Engineering
  • Digital Health

Background:

  • Epilepsy is a common neurological disorder marked by unpredictable seizures.
  • Current risk factors for epilepsy are partially understood.
  • Predicting seizure onset remains a significant clinical challenge.

Purpose of the Study:

  • To investigate the potential of mHealth systems and biometric sensor data for detecting and predicting epileptic seizures.
  • To explore novel biological indicators for seizure forecasting.
  • To assess the feasibility of using wearable technology in epilepsy management.

Main Methods:

  • Utilizing an mHealth system integrated with Empatica EmbracePlus wearable sensors.
  • Monitoring five participants diagnosed with epilepsy.
  • Collecting continuous biometric sensor data over a period to capture a minimum of 15 seizures per participant.

Main Results:

  • The study is designed to present expected results and potential implications.
  • Analysis will focus on identifying patterns in biometric data preceding seizures.
  • The research aims to establish correlations between sensor data and seizure occurrence.

Conclusions:

  • This research may offer new insights into objective biological markers for seizure prediction.
  • Findings could pave the way for advanced seizure forecasting systems.
  • The study has the potential to improve the quality of life for individuals with epilepsy through predictive alerts.