Seizure detection on prolonged-EEG videos

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.

[1]  K. Meador,et al.  Computerized seizure detection of complex partial seizures. , 1991, Electroencephalography and clinical neurophysiology.

[2]  Mathias Bauer,et al.  Approximation algorithms and decision making in the Dempster-Shafer theory of evidence - An empirical study , 1997, Int. J. Approx. Reason..

[3]  George Tzanetakis,et al.  Musical genre classification of audio signals , 2002, IEEE Trans. Speech Audio Process..

[4]  Jie Yang,et al.  Sensor Fusion Using Dempster-Shafer Theory , 2002 .

[5]  Climent Nadeu,et al.  Time and frequency filtering of filter-bank energies for robust HMM speech recognition , 2000, Speech Commun..

[6]  Christopher G. Harris,et al.  A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.

[7]  C.-C. Jay Kuo,et al.  Audio content analysis for online audiovisual data segmentation and classification , 2001, IEEE Trans. Speech Audio Process..

[8]  Lawrence R. Rabiner,et al.  A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.

[9]  A J Gabor,et al.  Automated seizure detection using a self-organizing neural network. , 1996, Electroencephalography and clinical neurophysiology.

[10]  I. Osorio,et al.  Real‐Time Automated Detection and Quantitative Analysis of Seizures and Short‐Term Prediction of Clinical Onset , 1998, Epilepsia.

[11]  C.-C. Jay Kuo,et al.  Classification and retrieval of sound effects in audiovisual data management , 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).

[12]  Robin R. Murphy,et al.  Dempster-Shafer theory for sensor fusion in autonomous mobile robots , 1998, IEEE Trans. Robotics Autom..