TY - GEN
T1 - Quantification of pain degree using EEG with simple device
AU - Kagita, Junichiro
AU - Mitsukura, Yasue
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by MEXT KAKENHI (SCIENTIFIC RESEARCH S) Grant No. YYK7S01.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/4/27
Y1 - 2018/4/27
N2 - The final aim of this paper is to quantify pain degree by only using Electroencephalogram (EEG) measured with simple device. Pain degree dominates the choice and assessment of a treatment in clinical care. It is conventionally quantified using pain rating scales, although they are not capable of attaining objective values. Therefore, a method which can quantify pain degree objectively has great importance. In this paper, the possibility of quantifying pain degree by only using EEG measured with simple device is proposed. The proposed method is in an easy manner considering its time consummation and procedures. Significant difference in EEG features between pain-free, painful, and psychologically painful state were confirmed as the results of the experiment, showing the possibility of attaining objective pain degree by using EEG measured with simple device.
AB - The final aim of this paper is to quantify pain degree by only using Electroencephalogram (EEG) measured with simple device. Pain degree dominates the choice and assessment of a treatment in clinical care. It is conventionally quantified using pain rating scales, although they are not capable of attaining objective values. Therefore, a method which can quantify pain degree objectively has great importance. In this paper, the possibility of quantifying pain degree by only using EEG measured with simple device is proposed. The proposed method is in an easy manner considering its time consummation and procedures. Significant difference in EEG features between pain-free, painful, and psychologically painful state were confirmed as the results of the experiment, showing the possibility of attaining objective pain degree by using EEG measured with simple device.
KW - EEG
KW - Pain
UR - http://www.scopus.com/inward/record.url?scp=85046970393&partnerID=8YFLogxK
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U2 - 10.1109/ICIT.2018.8352497
DO - 10.1109/ICIT.2018.8352497
M3 - Conference contribution
AN - SCOPUS:85046970393
T3 - Proceedings of the IEEE International Conference on Industrial Technology
SP - 2014
EP - 2017
BT - Proceedings - 2018 IEEE International Conference on Industrial Technology, ICIT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Conference on Industrial Technology, ICIT 2018
Y2 - 19 February 2018 through 22 February 2018
ER -