Presentation 2006/10/19
Trial to estimate visual perception from cortical NIRS signal
Masamitsu HARASAWA, Nobuyuki HIRUMA,
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Abstract(in English) It usually seems difficult to infer situations of perceptual information processing from only brain activities. We tried to estimate subjects' perception by using classification techniques that seems useful for brain-machine interface (BMI). Near infrared spectroscopy (NIRS) seems suitable for applicative BMI, since it is non-invasive, very easy to handle and maintain, and less fettered. Here, we tried to decode the visual stimuli that subjects viewed in detecting visual motion by classification using support vector machine from cerebral hemodynamic responses measured by NIRS. We investigated the effect of spatiotemporal features of NIRS signals on classification performances. Consequently, it was suggested that task related components could be extracted from NIRS signals in particular temporal frequency bands, which varied with brain regions.
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Keyword(in English) Near-infrared spectroscopy / classification / decoding / coherent motion
Paper # HIP2006-55
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Committee HIP
Conference Date 2006/10/19(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Trial to estimate visual perception from cortical NIRS signal
Sub Title (in English)
Keyword(1) Near-infrared spectroscopy
Keyword(2) classification
Keyword(3) decoding
Keyword(4) coherent motion
1st Author's Name Masamitsu HARASAWA
1st Author's Affiliation Science & Technical Research Laboratories()
2nd Author's Name Nobuyuki HIRUMA
2nd Author's Affiliation Science & Technical Research Laboratories
Date 2006/10/19
Paper # HIP2006-55
Volume (vol) vol.106
Number (no) 328
Page pp.pp.-
#Pages 5
Date of Issue