Descriptive epidemiology of high frequency component based on heart rate variability from 10-second ECG data and daily physical activity among community adult residents: the Nagahama Study-Reference-Cited by-同舟云学术

Descriptive epidemiology of high frequency component based on heart rate variability from 10-second ECG data and daily physical activity among community adult residents: the Nagahama Study

Published:2020-08-31 Issue:4 Volume:14 Page:241-247
ISSN:1881-7815
Container-title:BioScience Trends
language:en
Short-container-title:BST

Author:

Takahashi Naomi¹,Takahashi Yoshimitsu¹,Tabara Yasuharu²,Kawaguchi Takahisa²,Kuriyama Akira¹,Ueshima Kenji³,Kosugi Shinji⁴,Sekine Akihiro⁵,Yamada Ryo²,Matsuda Fumihiko²,Nakayama Takeo¹,

Affiliation:

1. Department of Health Informatics, Kyoto University School of Public Health, Kyoto, Japan.

2. Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

3. Department of EBM Research, Institute for Advancement of Clinical and Translational Science, Kyoto University Hospital, Kyoto, Japan.

4. Department of Medical Ethics and Medical Genetics, Kyoto University School of Public Health, Kyoto, Japan.

5. Department of Omics-based Medicine, Clinical Preventive Medical Sciences, Center for Preventive Medical Sciences, Chiba University, Chiba, Japan.

Publisher

International Research and Cooperation Association for Bio & Socio-Sciences Advancement (IRCA-BSSA)

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine,Health(social science)

Link

https://www.jstage.jst.go.jp/article/bst/14/4/14_2020.03146/_pdf

Reference35 articles.

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5. 5. Akaike H. Power spectrum estimation through autoregressive model fitting. Ann Inst Stat Math. 1969; 21:407-419.