Spectral Analysis of Acceleration Data for Detection of Generalized Tonic-Clonic Seizuresopen access
- Authors
- Joo, Hyo Sung; Han, Su-Hyun; Lee, Jongshill; Jang, Dong Pyo; Kang, Joong Koo; Woo, Jihwan
- Issue Date
- Mar-2017
- Publisher
- MDPI
- Keywords
- epilepsy; seizure detection; accelerometer; spectral analysis
- Citation
- SENSORS, v.17, no.3, pp.1 - 11
- Indexed
- SCIE
SCOPUS
- Journal Title
- SENSORS
- Volume
- 17
- Number
- 3
- Start Page
- 1
- End Page
- 11
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/152773
- DOI
- 10.3390/s17030481
- ISSN
- 1424-8220
- Abstract
- Generalized tonic-clonic seizures (GTCSs) can be underestimated and can also increase mortality rates. The monitoring devices used to detect GTCS events in daily life are very helpful for early intervention and precise estimation of seizure events. Several studies have introduced methods for GTCS detection using an accelerometer (ACM), electromyography, or electroencephalography. However, these studies need to be improved with respect to accuracy and user convenience. This study proposes the use of an ACM banded to the wrist and spectral analysis of ACM data to detect GTCS in daily life. The spectral weight function dependent on GTCS was used to compute a GTCS-correlated score that can effectively discriminate between GTCS and normal movement. Compared to the performance of the previous temporal method, which used a standard deviation method, the spectral analysis method resulted in better sensitivity and fewer false positive alerts. Finally, the spectral analysis method can be implemented in a GTCS monitoring device using an ACM and can provide early alerts to caregivers to prevent risks associated with GTCS.
- Files in This Item
-
- Appears in
Collections - 서울 의생명공학전문대학원 > 서울 의생명공학전문대학원 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/152773)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.