open access

https://hdl.handle.net/2115/39659

Information Fusion Analysis in Time-Frequency Domain of Brain Responses Dynamics to Affective Stimuli

英語

2009-10-04

Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee

Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference

169-173

APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Oral session: Advances in Signal Processing for Brain Data Analysis and Feature Extraction (5 October 2009).

An approach to estimate brain responses to emotional or generally affective stimuli is presented. Functional electroencephalography (fEEG) and functional near-infrared spectroscopy (fNIRS) signals are first preprocessed to remove muscle and peripheral body activity physiological noise with utilization of an extension of empirical mode decomposition (EMD) spectral clustering approach, which utilizes simultaneously recorded biosignals as references. The so preprocessed signals are further analyzed with quick signal change detection based on dynamical systems recurrence analysis technique. As a result we obtain clear signature estimates of subjects cognition state changes from fEEG and fNIRS in response to the presented emotional/affective stimuli.

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