2024-03-28T21:24:01Zhttps://eprints.lib.hokudai.ac.jp/dspace-oai/requestoai:eprints.lib.hokudai.ac.jp:2115/396592022-11-17T02:08:08Zhdl_2115_39595hdl_2115_39594hdl_2115_33096Information Fusion Analysis in Time-Frequency Domain of Brain Responses Dynamics to Affective StimuliRutkowski, Tomasz M.Cichocki, AndrzejMandic, Danilo P.open access548APSIPA 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.Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee2009-10-04engconference paperVoRhttp://hdl.handle.net/2115/39659Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference169173APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議SapporoJPNhttps://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/39659/1/MP-SS2-4.pdfapplication/pdf2.36 MB2009-10-04