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ÇѱÛÁ¦¸ñ(Korean Title) |
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¿µ¹®Á¦¸ñ(English Title) |
Deep Learning Network Approach for Pain Recognition Using Physiological Signals |
ÀúÀÚ(Author) |
Kim Ngan Phan
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Kim Ngan Phan
Guee-Sang Lee
Hyung-Jeong Yang
Soo-Hyung Kim.
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¿ø¹®¼ö·Ïó(Citation) |
VOL 28 NO. 02 PP. 1001 ~ 1004 (2021. 11) |
Çѱ۳»¿ë (Korean Abstract) |
Pain is an unpleasant experience for the patient. The recognition and assessment of pain help tailor the treatment to the patient, and they are also challenging in the medical. In this paper, we propose an approach for pain recognition through a deep neural network applied to pre-processed physiological. The proposed approach applies the idea of shortcut connections to concatenate the spatial information of a convolutional neural network and the temporal information of a recurrent neural network. In addition, our proposed approach applies the attention mechanism and achieves competitive performance on the BioVid Heat Pain dataset.
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¿µ¹®³»¿ë (English Abstract) |
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