First Advisor
James McNames
Date of Award
Spring 6-14-2024
Document Type
Thesis
Degree Name
Bachelor of Science (B.S.) in Electrical Engineering and University Honors
Department
Electrical and Computer Engineering
Language
English
Subjects
Seizure detection device, wearable device, wearable sensors, automated seizure detection, systematic literature review
Abstract
Knowing when a seizure occurred is helpful because this information can be used to evaluate the effectiveness of seizure interventions and possibly alert caregivers to emergency situations. The current practice for recording seizures outside of a hospital and without sensors is through keeping a self-reported seizure diary. This practice may be unreliable if the diary is not updated or the person having the seizure does not realize it is happening. Wearable seizure detectors aim to solve this problem by reliably recording when a seizure happened and either sending out an alert or storing the data for later analysis. In this systematic review of the literature, 1,018 articles were evaluated to assess the current status of wearable seizure detection technology. A look into the challenges to developing such a device and how others have overcome some of these challenges is also discussed.
Recommended Citation
Losli, Rhema E., "Technologies for Wearable Seizure Detection: A Systematic Review" (2024). University Honors Theses. Paper 1491.