Detection of generalized tonic-clonic seizures using short length accelerometry signal

Shitanshu Kusmakar, Chandan K. Karmakar, Bernard Yan, Terence J. O'Brien, Ramanathan Muthuganapathy, Marimuthu Palaniswami

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

8 Citations (Scopus)

Abstract

Epileptic seizures are characterized by the excessive and abrupt electrical discharge in the brain. This asynchronous firing of neurons causes unprovoked convulsions which can be a cause of sudden unexpected death in epilepsy (SUDEP). Remote monitoring of epileptic patients can help prevent SUDEP. Systems based on wearable accelerometer sensors have shown to be effective in ambulatory monitoring of epileptic patients. However, these systems have a trade-off between seizure duration and the false alarm rate (FAR). The FAR of the system decreases as we increase the seizure duration. Further, multiple sensors are used in conjugation to improve the overall performance of the detection system. In this study, we propose a system based on single wrist-worn accelerometer sensor capable of detecting seizures with short duration (≥ 10s). Seizure detection was performed by employing machine learning approach such as kernelized support vector data description (SVDD). The proposed approach is validated on data collected from 12 patients, corresponding to approximately 966h of recording under video-telemetry unit. The algorithm resulted in a seizure detection sensitivity of 95.23% with a mean FAR of 0.72=24h.

Original languageEnglish
Title of host publication2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017)
EditorsEung Je Woo, Yuan-ting Zhang, Thomas Penzel
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages4566-4569
Number of pages4
ISBN (Electronic)9781509028092
ISBN (Print)9781509028108
DOIs
Publication statusPublished - 13 Sep 2017
Externally publishedYes
EventInternational Conference of the IEEE Engineering in Medicine and Biology Society 2017 - Jeju Island, Korea, Republic of (South)
Duration: 11 Jul 201715 Jul 2017
Conference number: 39th
https://embc.embs.org/2017/

Conference

ConferenceInternational Conference of the IEEE Engineering in Medicine and Biology Society 2017
Abbreviated titleEMBC 2017
CountryKorea, Republic of (South)
CityJeju Island
Period11/07/1715/07/17
Internet address

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