Paper Abstract and Keywords |
Presentation |
2022-12-03 15:50
Relationship between Core Body Temperature Variability and Sleep Indices based on Time Series Analysis of Tympanic Temperature Hiroaki Sakamoto, Yutaka Yoshida, Emi Yuda (Tohoku Univ.) MBE2022-28 NC2022-50 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Abstract Core body temperature is known as an important vital sign in the medical field because it predicts heat stroke, infectious diseases, and the female sex cycle. It is also known that core body temperature fluctuations are linked to the body's internal rhythms because of the minute fluctuations that occur in approximately one-day cycles. However, conventional core body temperature estimation methods mainly use predictions based on short-term analysis and calculations, and actual measurement such as rectal temperature measurement is highly invasive and difficult to measure continuously, making it unsuitable for daily monitoring. In this study, to clarify the relationship between deep body temperature fluctuations during sleep and sleep indices, we focused on the possibility of continuously obtaining core body temperature by continuously measuring tympanic membrane temperature during sleep using a temperature sensor that captures the amount of infrared radiation emitted from within the ear where the internal carotid artery runs. By obtaining a continuous time series of stable core temperature data that is not easily affected by the temperature of the outside, we analyzed the relationship between core body temperature fluctuations and sleep indices.
The study subjects were 3 healthy male and female in 40-50s. A tympanic membrane thermometer (BL100, Technonext, Japan) was attached to the ear canal at bedtime, and core body temperature was continuously measured at 0.5 Hz during sleep until awakening. Sleep indices were measured by a wristwatch-type wearable sensor (Garmin ForeAthlete 945, USA). Sleep indices obtained by the sensor were paired to an application (Garmin Connect), synchronized upon awakening, and transmitted to a smartphone to collect data on sleep duration, deep sleep (min), shallow sleep (min), REM sleep (min), mid-wake (min, times), sleep score (%), stress level (%), and sleep quality (%). Stress level (%), heart rate (resting heart rate, maximum heart rate), and mean respiratory rate (brpm) were obtained. From the continuous core body temperature time series data, the core body temperature coefficient of variation (CBTCV), the very low frequency component (VLF, the area of the deep body temperature power spectrum from 0.0033 Hz to 0.04 divided by the total area of the power spectrum) were calculated to determine the relationship between CBTCV, VLF, Mean, SD and the sleep indices.
The results of the analysis of 4 data (about 360min, each) excluding missing data showed a correlation between core body temperature variability, SD and deep sleep (r=-0.7689, r=-0.7687).
The results of a comprehensive evaluation of the relationship between core body temperature and sleep indices such as sleep duration in each sleep environment of the subjects suggested a negative correlation between CBTCV and deep sleep. This suggests that the deep sleep is shorter when the fluctuation of core body temperature is higher. The mechanism by which the brain and body rest by lowering the core body temperature is clear and consistent with these results, as the body enters a resting state when the skin surface heat dissipation is activated and the deep body temperature is lowered. However, the minimum values of basal heart rate (BHR) and deep body temperature remain to be elucidated in this study. Simultaneous measurement of core body temperature and BHR is expected to be useful not only for daily health promotion and early detection of sleep disorders, but also for clinical research on rhythm disorders. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Tympanic temperature / Core body temperature fluctuation / Sleep index / Sleep disorders / Rhythm disorders / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 291, MBE2022-28, pp. 27-28, Dec. 2022. |
Paper # |
MBE2022-28 |
Date of Issue |
2022-11-26 (MBE, NC) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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MBE2022-28 NC2022-50 |
Conference Information |
Committee |
MBE NC |
Conference Date |
2022-12-03 - 2022-12-03 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Osaka Electro-Communication University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
NC, ME, etc. |
Paper Information |
Registration To |
MBE |
Conference Code |
2022-12-MBE-NC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Relationship between Core Body Temperature Variability and Sleep Indices based on Time Series Analysis of Tympanic Temperature |
Sub Title (in English) |
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Keyword(1) |
Tympanic temperature |
Keyword(2) |
Core body temperature fluctuation |
Keyword(3) |
Sleep index |
Keyword(4) |
Sleep disorders |
Keyword(5) |
Rhythm disorders |
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1st Author's Name |
Hiroaki Sakamoto |
1st Author's Affiliation |
Tohoku University (Tohoku Univ.) |
2nd Author's Name |
Yutaka Yoshida |
2nd Author's Affiliation |
Tohoku University (Tohoku Univ.) |
3rd Author's Name |
Emi Yuda |
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Tohoku University (Tohoku Univ.) |
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Speaker |
Author-1 |
Date Time |
2022-12-03 15:50:00 |
Presentation Time |
25 minutes |
Registration for |
MBE |
Paper # |
MBE2022-28, NC2022-50 |
Volume (vol) |
vol.122 |
Number (no) |
no.291(MBE), no.292(NC) |
Page |
pp.27-28 |
#Pages |
2 |
Date of Issue |
2022-11-26 (MBE, NC) |
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