University of Oulu

Huttunen, H.-L., Seppänen, P., & Halonen, R. (2022). On assumed usefulness of wearable sensors in early recognition of migraine attacks perceived by patients. Finnish Journal of EHealth and EWelfare, 14(4), 380–391.

On assumed usefulness of wearable sensors in early recognition of migraine attacks perceived by patients

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Author: Huttunen, Hanna-Leena1; Seppänen, Pertti1; Halonen, Raija1
Organizations: 1M3S, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
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Language: English
Published: Finnish Social and Health Informatics Association, 2022
Publish Date: 2023-01-04


This study analysed how migraine patients assume to improve their daily life if wearable sensors provide them pre-warnings of approaching or impending migraine attacks. The study analysed the use of new technology in identifying pre-symptoms in migraine patients using the Technology Acceptance Model (TAM) focusing on the assumed usefulness of a wearable device. The study added understanding of getting migraine patients to accept smart technology to support their own treatments. The results were drawn from a sample of altogether 582 migraine patients with or without an aura. The difference between migraine with aura and without aura is that migraine with aura precedes physical symptoms like visual disturbances, numbness, and difficulty in speech, while there are no pre-symptoms in migraine without aura. The assumed wearable device (WBAN) notifies, however, the bio-signals of an oncoming migraine attack.

Due to current achievements with available digitalised tools to monitor health and wellbeing, also self-care is benefiting. Pre-migraine symptoms are among the biggest challenges in identifying migraine. Noting this, our study addressed the value of wearable sensors in early recognition of migraine attacks.

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Series: Finnish Journal of eHealth and eWelfare
ISSN: 1798-0798
ISSN-E: 1798-0798
ISSN-L: 1798-0798
Volume: 14
Issue: 4
Pages: 380 - 391
DOI: 10.23996/fjhw.111575
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
Copyright information: © 2022 Finnish Journal of eHealth and eWelfare. This work is licensed under a Creative Commons Attribution 4.0 International License.