Towards Migraine-Event Prediction Using Continuous Long-Term Biometric Sensor Data

Migraine is a common chronic headache disorder characterizsed by episodes of moderate to severe headaches, resulting in a large personal- and societal burden. To address this, we implemented a mobile app solution aimed at enhancing continuous data collection and increasing data coverage for the Empatica E4 biometric sensor device. Our ultimate goal is to use this system in a future migraine event prediction system. In our initial study, three participants wore the E4 device for eight days and were interviewed about their experience. Main user-experience feedback included the need for more frequent reminders, more detailed information on the collected data, and improvements with respects to connectivity issues. Regarding the app interface, participants recommended adding more diagnostic tools and statistics, enhancing the "look and feel" design, clarifying explanations of variables, providing information on data usage, and supporting additional sensor devices.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250278
Citations
1
Primary Topic
Migraine and Headache Studies
Type
article
Field-Weighted Citation Impact
15.69
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Towards Migraine-Event Prediction Using Continuous Long-Term Biometric Sensor Data

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article

Towards Migraine-Event Prediction Using Continuous Long-Term Biometric Sensor Data

Erlend Hoftun Farbu, Anja Davis Norbye, Daniel Ursin, André Henriksen, Gunnar Hartvigsen
article en
1 citations

Abstract

Migraine is a common chronic headache disorder characterizsed by episodes of moderate to severe headaches, resulting in a large personal- and societal burden. To address this, we implemented a mobile app solution aimed at enhancing continuous data collection and increasing data coverage for the Empatica E4 biometric sensor device. Our ultimate goal is to use this system in a future migraine event prediction system. In our initial study, three participants wore the E4 device for eight days and were interviewed about their experience. Main user-experience feedback included the need for more frequent reminders, more detailed information on the collected data, and improvements with respects to connectivity issues. Regarding the app interface, participants recommended adding more diagnostic tools and statistics, enhancing the "look and feel" design, clarifying explanations of variables, providing information on data usage, and supporting additional sensor devices.

Studies in health technology and informaticsVol. 327
Nordland Hospital Trust (NO), UiT The Arctic University of Norway (NO)
Openalex Percentile: Top 2%
Migraine and Headache Studies
15.69
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