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Sensors 2017, 17(3), 481; doi:10.3390/s17030481

Spectral Analysis of Acceleration Data for Detection of Generalized Tonic-Clonic Seizures

1
Department of Biomedical Engineering, University of Ulsan, Ulsan 44610, Korea
2
Department of Neurology, Chung-Ang University College of Medicine, Seoul 06973, Korea
3
Department of Biomedical Engineering, Hanyang University, Seoul 04763, Korea
4
LGT Neuro Medical Center, Seoul 06106, Korea
*
Author to whom correspondence should be addressed.
Academic Editors: Octavian Adrian Postolache, Alex Casson and Subhas Chandra Mukhopadhyay
Received: 21 November 2016 / Revised: 6 February 2017 / Accepted: 22 February 2017 / Published: 28 February 2017
(This article belongs to the Special Issue Sensing Technology for Healthcare System)
View Full-Text   |   Download PDF [3224 KB, uploaded 28 February 2017]   |  

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. View Full-Text
Keywords: epilepsy; seizure detection; accelerometer; spectral analysis epilepsy; seizure detection; accelerometer; spectral analysis
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MDPI and ACS Style

Joo, H.S.; Han, S.-H.; Lee, J.; Jang, D.P.; Kang, J.K.; Woo, J. Spectral Analysis of Acceleration Data for Detection of Generalized Tonic-Clonic Seizures. Sensors 2017, 17, 481.

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