TY - GEN
T1 - Seizure detection on prolonged-EEG videos
AU - Shen, Yu Ting
AU - Chung, Pau Choo
AU - Thonnet, Monnique
AU - Chauvel, Patrick
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=51749120107&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51749120107&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2008.4541846
DO - 10.1109/ISCAS.2008.4541846
M3 - Conference contribution
AN - SCOPUS:51749120107
SN - 9781424416844
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 2030
EP - 2033
BT - 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
T2 - 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
Y2 - 18 May 2008 through 21 May 2008
ER -