Seizure detection on prolonged-EEG videos

Yu Ting Shen, Pau Choo Chung, Monnique Thonnet, Patrick Chauvel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper develops the fusion of audio and video features by Dempster-Shafer theory for seizure detection. In audio analysis, Mel Frequency Cepstral Coefficient (MFCC) and Zero-Crossing Rate (ZCR) are applied to Hidden Markov Model (HMM) for audio type classification and probability computation. The results are transferred to belief of evidence and combined with the results from videos. Results have been tested by data obtained from several seizure patients and showed promising results.

Original languageEnglish
Title of host publication2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
Pages2030-2033
Number of pages4
DOIs
Publication statusPublished - 2008 Sep 19
Event2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008 - Seattle, WA, United States
Duration: 2008 May 182008 May 21

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Other

Other2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
CountryUnited States
CitySeattle, WA
Period08-05-1808-05-21

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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