文章基本信息

标题：Thermal Pain Level Estimation Method with Heart Rate and Cerebral Blood Flow
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作者：Kohei Arai ; Asato Mizoguchi ; Hiroshi Okumura 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：7
页码：268-272
DOI：10.14569/IJACSA.2019.0100736
出版社：Science and Information Society (SAI)
摘要：Method for thermal pain level estimation with heart rate and cerebral blood flow using SVM is proposed. Through experiments, it is found that thermal pain level is much sensitive to the cerebral blood flow rather than heart rate. Also, it is found that the performance of thermal pain estimation is much better than the previously proposed method with the number of blinks, the enlarging rate of pupil size.
关键词：Thermal pain; support vector machine; thermal stimulus; classification; cerebral blood flow; heart rate