TY - GEN
T1 - Correlation between human core body temperature fluctuation and sleep efficiency using time series analysis
AU - Sakamoto, Hiroaki
AU - Yoshida, Yutaka
AU - Yuda, Emi
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by JST-Mirai Program Grant Number PMJMI19B4 and Support Project for Strategic Promotion of Intellectual Property, Standardization, and Commercialization in the Beyond 5G Era (Ministry of Internal Affairs and Communications), Japan.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Core body temperature has relation to sleep. However, unlike body surface temperature, it is difficult to obtain time series data on core body temperature, and few studies have focused on the variability of core body temperature. In this study, we focused on the measurement of core body temperature using a non-contact infrared sensor, measured continuous time-series data of core body temperature during sleep, and investigated the correlation between indices obtained from core body temperature data and sleep indices obtained from a wristband-type wearable sensor. The results showed a negative correlation between the very low frequency component (VLF) calculated from core body temperature fluctuations and deep sleep (r=-0.69). The results suggest that VLF values of core body temperature may be useful as a new sleep evaluation index.
AB - Core body temperature has relation to sleep. However, unlike body surface temperature, it is difficult to obtain time series data on core body temperature, and few studies have focused on the variability of core body temperature. In this study, we focused on the measurement of core body temperature using a non-contact infrared sensor, measured continuous time-series data of core body temperature during sleep, and investigated the correlation between indices obtained from core body temperature data and sleep indices obtained from a wristband-type wearable sensor. The results showed a negative correlation between the very low frequency component (VLF) calculated from core body temperature fluctuations and deep sleep (r=-0.69). The results suggest that VLF values of core body temperature may be useful as a new sleep evaluation index.
KW - core body temperature
KW - core body temperature variation
KW - non-contact infrared sensor
KW - sleep index
KW - wearable sensor
UR - http://www.scopus.com/inward/record.url?scp=85146714106&partnerID=8YFLogxK
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U2 - 10.1109/SCISISIS55246.2022.10001964
DO - 10.1109/SCISISIS55246.2022.10001964
M3 - Conference contribution
AN - SCOPUS:85146714106
T3 - 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022
BT - 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022
Y2 - 29 November 2022 through 2 December 2022
ER -