International Symposium on Affective Science and Engineering
Online ISSN : 2433-5428
ISASE2023
セッションID: PM-2A-7
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Affective Science and Engineering 2
Transition in human heart rate variability indices due to spread of the COVID-19: Comparison of young and elderly groups by ALLSTAR big data analysis
Yutaka YOSHIDAEmi YUDA
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Our lives have changed dramatically since the spring of 2020 due to the new coronavirus infection COVID-19. And in an environment where we are required to coexist with the virus for the foreseeable future, teleworking to work remotely and social distancing to maintain intervals between people are required. Thorough infection prevention measures" and "ensuring the availability of healthcare delivery systems" remain critical. Recent studies have shown that patients with moderate or severe coronary infections have reduced pulmonary diffusion function as a sequela. Thus, changes in the environment, in the human organism itself, naturally affect heart rate variability indices. To investigate the changes in heart rate variability and body acceleration between the young and the elderly groups, we collected data from the Allostatic State Mapping by Ambulatory ECG Repository (ALLSTAR) database on 1342 cases (mean age 22 ± 1 year) in the young group and 12,000 cases (mean age 22 ± 1 year) in the elderly group from 2019 to 2021.) and 12,994 cases (mean age 72 ± 1 years) in the older group from 2019 to 2021 were extracted from the ALLSTAR database and analyzed. Results showed that the younger group showed a decreasing trend in activity due to the spread of coronavirus (P<0.01). The elderly group showed no significant difference in activity in 2020, but the proportion of time spent in the supine position tended to increase (P<0.01).

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