NCT04949204

Context-awareness, Physiological Monitoring, and Machine Learning in Migraine and Cluster Headache

Contextuele Analyse, Fysiologische Metingen en Machinaal Leren Voor Migraine en Clusterhoofdpijn (COPIMAC Studie)

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 19 (actual)
• Sponsor: University Hospital, Ghent · Academic / Other
• Sex: All
• Age: 18 Years – 65 Years
• Healthy volunteers: Not accepted

Summary

This is an observational, longitudinal cohort pilot study measuring physiological signals through wearable sensors combined with machine learning algorithms to detect behaviour, stress and headaches in patients with migraine and cluster headache.

Detailed description

Migraine and cluster headache are among the most disabling headache conditions in humans. Both conditions have different phases such as the prodromal/premonitory phase, the aura phase, the headache phase and the postdromal phase. This pilot study examines the potential of wearable sensors combined with machine learning algorithms to investigate the biological changes over time in both conditions. Behaviour such as movement, sleep and activity will be monitored. Stress levels will be estimated through the wearable data combined with input from the patients. Participants will use a wearable device around the wrist and self-developed headache application for 21 days.

Conditions

• Migraine
• Cluster Headache

Interventions

Type	Name	Description
PROCEDURE	Wearable sensor detection	Empatica E4 wearable wrist sensor

Timeline

• Start date: 2020-07-01
• Primary completion: 2021-07-31
• Completion: 2021-07-31
• First posted: 2021-07-02
• Last updated: 2022-12-05

Locations

1 site across 1 country: Belgium