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.
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.
Study Type
OBSERVATIONAL
Enrollment
19
Empatica E4 wearable wrist sensor
University Hospital, Ghent: Department of Neurology
Ghent, Belgium
Galvanic Skin Response changes
Changes in GSR through the different phases of the headache attacks
Time frame: 21 days
Activity ratio
Activity ratio measurement through accelerometer data
Time frame: 21 days
Skin temperature
Skin temperature measurement through builtin thermometer
Time frame: 21 days
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