{"title":"由腕表式心率监测仪测量的心率估计心率变异性","authors":"Kiyoko Yokoyama, Emi Hayashi, Hisatoshi Ito, Yuko Kawahara","doi":"10.1002/ecj.12351","DOIUrl":null,"url":null,"abstract":"<p>HF and LF/HF, which are parameters of the frequency domain of the electrocardiogram R-R interval time series, are general index of the autonomic nervous activity balance. Most wristwatch-type heart-rate monitors measure heart rate from sphygmograph and interpolate missing data. These are the causes of reducing the calculation accuracy of LF and HF. The purpose of this study is to propose a method for estimating LF and HF calculated from the ECG R-R interval time series from the heart-rate time series at 1-s intervals measured by a wristwatch-type heart-rate monitor. Six hundred and seventy data-set with a length of 120 s measured simultaneously with an electrocardiogram and a wristwatch-type heart-rate monitor during standing cooking operation, up-right standing, watching slide show in standing posture, and resting supine position were used. Seventy percent dataset were used for modeling, and remaining 30% were used for evaluating model. As a result, the coefficient of determination of LF and HF were 0.441 and 0.467, respectively in the one-variable polynomial regression model. The coefficient of determination of LF and HF were 0.557 and 0.644, respectively in the multivariable regression model, based on Random Forest and time domain indices.\n</p>","PeriodicalId":50539,"journal":{"name":"Electronics and Communications in Japan","volume":"105 2","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2022-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimation of heart rate variability from heart rate measured with wristwatch-type heart rate monitor\",\"authors\":\"Kiyoko Yokoyama, Emi Hayashi, Hisatoshi Ito, Yuko Kawahara\",\"doi\":\"10.1002/ecj.12351\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>HF and LF/HF, which are parameters of the frequency domain of the electrocardiogram R-R interval time series, are general index of the autonomic nervous activity balance. Most wristwatch-type heart-rate monitors measure heart rate from sphygmograph and interpolate missing data. These are the causes of reducing the calculation accuracy of LF and HF. The purpose of this study is to propose a method for estimating LF and HF calculated from the ECG R-R interval time series from the heart-rate time series at 1-s intervals measured by a wristwatch-type heart-rate monitor. Six hundred and seventy data-set with a length of 120 s measured simultaneously with an electrocardiogram and a wristwatch-type heart-rate monitor during standing cooking operation, up-right standing, watching slide show in standing posture, and resting supine position were used. Seventy percent dataset were used for modeling, and remaining 30% were used for evaluating model. As a result, the coefficient of determination of LF and HF were 0.441 and 0.467, respectively in the one-variable polynomial regression model. The coefficient of determination of LF and HF were 0.557 and 0.644, respectively in the multivariable regression model, based on Random Forest and time domain indices.\\n</p>\",\"PeriodicalId\":50539,\"journal\":{\"name\":\"Electronics and Communications in Japan\",\"volume\":\"105 2\",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2022-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electronics and Communications in Japan\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/ecj.12351\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronics and Communications in Japan","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ecj.12351","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Estimation of heart rate variability from heart rate measured with wristwatch-type heart rate monitor
HF and LF/HF, which are parameters of the frequency domain of the electrocardiogram R-R interval time series, are general index of the autonomic nervous activity balance. Most wristwatch-type heart-rate monitors measure heart rate from sphygmograph and interpolate missing data. These are the causes of reducing the calculation accuracy of LF and HF. The purpose of this study is to propose a method for estimating LF and HF calculated from the ECG R-R interval time series from the heart-rate time series at 1-s intervals measured by a wristwatch-type heart-rate monitor. Six hundred and seventy data-set with a length of 120 s measured simultaneously with an electrocardiogram and a wristwatch-type heart-rate monitor during standing cooking operation, up-right standing, watching slide show in standing posture, and resting supine position were used. Seventy percent dataset were used for modeling, and remaining 30% were used for evaluating model. As a result, the coefficient of determination of LF and HF were 0.441 and 0.467, respectively in the one-variable polynomial regression model. The coefficient of determination of LF and HF were 0.557 and 0.644, respectively in the multivariable regression model, based on Random Forest and time domain indices.
期刊介绍:
Electronics and Communications in Japan (ECJ) publishes papers translated from the Transactions of the Institute of Electrical Engineers of Japan 12 times per year as an official journal of the Institute of Electrical Engineers of Japan (IEEJ). ECJ aims to provide world-class researches in highly diverse and sophisticated areas of Electrical and Electronic Engineering as well as in related disciplines with emphasis on electronic circuits, controls and communications. ECJ focuses on the following fields:
- Electronic theory and circuits,
- Control theory,
- Communications,
- Cryptography,
- Biomedical fields,
- Surveillance,
- Robotics,
- Sensors and actuators,
- Micromachines,
- Image analysis and signal analysis,
- New materials.
For works related to the science, technology, and applications of electric power, please refer to the sister journal Electrical Engineering in Japan (EEJ).