Current Result Document :
| 한글제목(Korean Title) |
생리적 신호를 이용한 통증 인식을 위한 딥 러닝 네트 워크 |
| 영문제목(English Title) |
Deep Learning Network Approach for Pain Recognition Using Physiological Signals |
| 저자(Author) |
Kim Ngan Phan
이귀상
양형정
김수형
Kim Ngan Phan
Guee-Sang Lee
Hyung-Jeong Yang
Soo-Hyung Kim.
|
| 원문수록처(Citation) |
VOL 28 NO. 02 PP. 1001 ~ 1004 (2021. 11) |
한글내용
(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.
|
영문내용
(English Abstract) |
|
| 키워드(Keyword) |
|
| 파일첨부 |
PDF 다운로드
|
