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

DOI

10.15760/honors.1523

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.

Persistent Identifier

https://archives.pdx.edu/ds/psu/42122

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