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Adaptive EEG spike detection: determination of threshold values based on conditional probability

Adaptive EEG spike detection: determination of threshold values based on conditional probability Frontiers Med. Biol. Engng , Vol. 11, No. 4, pp. 261– 277 (2002) Ó VSP 2002. Also available online - www.vsppub.com Original paper Adaptive EEG spike detection: determination of threshold values based on conditional probability TAKENAO SUGI 1 ; ¤ , MASATOSHI NAKAMURA 2 , AKIO IKEDA 3 and HIROSHI SHIBASAKI 3 ; 4 1 Department of Electrical and Electronic Engineering, Faculty of Science and Engineering, Saga University, Honjomachi, Saga 840-8502, Japan 2 Department of Advanced Systems Control Engineering, Graduate School of Science and Engineering, Saga University, Honjomachi, Saga 840-8502, Japan 3 Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan 4 Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan Received 19 November 2001; revised 20 February 2002; accepted 13 March 2002 Abstract —Determination of the threshold value for automatic EEG spike detection was investigated adopting conditional probability. An adaptive spike detection method was constructed and evaluated. A discriminant function for detecting spikes was obtained by conditional probability calculated from the EEG spike data. The relationship among false-negatives, false-positives and threshold values for the discriminant function was investigated. An adaptive detection algorithm was developed by combining different threshold values. False-negative http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Frontiers of Medical & Biological Engineering Brill

Adaptive EEG spike detection: determination of threshold values based on conditional probability

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Publisher
Brill
Copyright
© 2001 Koninklijke Brill NV, Leiden, The Netherlands
ISSN
0921-3775
eISSN
1568-5578
DOI
10.1163/156855701321138923
Publisher site
See Article on Publisher Site

Abstract

Frontiers Med. Biol. Engng , Vol. 11, No. 4, pp. 261– 277 (2002) Ó VSP 2002. Also available online - www.vsppub.com Original paper Adaptive EEG spike detection: determination of threshold values based on conditional probability TAKENAO SUGI 1 ; ¤ , MASATOSHI NAKAMURA 2 , AKIO IKEDA 3 and HIROSHI SHIBASAKI 3 ; 4 1 Department of Electrical and Electronic Engineering, Faculty of Science and Engineering, Saga University, Honjomachi, Saga 840-8502, Japan 2 Department of Advanced Systems Control Engineering, Graduate School of Science and Engineering, Saga University, Honjomachi, Saga 840-8502, Japan 3 Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan 4 Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan Received 19 November 2001; revised 20 February 2002; accepted 13 March 2002 Abstract —Determination of the threshold value for automatic EEG spike detection was investigated adopting conditional probability. An adaptive spike detection method was constructed and evaluated. A discriminant function for detecting spikes was obtained by conditional probability calculated from the EEG spike data. The relationship among false-negatives, false-positives and threshold values for the discriminant function was investigated. An adaptive detection algorithm was developed by combining different threshold values. False-negative

Journal

Frontiers of Medical & Biological EngineeringBrill

Published: Jan 1, 2001

Keywords: DETERMINATION OF THRESHOLD VALUE; CONDITIONAL PROBABILITY; FALSE-POSITIVE; FALSE-NEGATIVE; ADAPTIVE SPIKE DETECTION

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