{"title":"基于心电图和光容积脉搏波信号的心率变异性和脉搏变异性评估","authors":"A. Podaru, V. David","doi":"10.1109/ATEE52255.2021.9425317","DOIUrl":null,"url":null,"abstract":"In this paper, we have presented the heart rate variability (HRV) and pulse rate variability parameters (PRV) obtained for ten simultaneous electrocardiographic and photopletismographic signals recordings made twice a day, in the early morning and the evening, over the course of one week. First, a study regarding two methods of calculating the HRV parameters, namely at the effect of time series corrections and at the concordance between HRV and PRV, has been made. In the case of making corrections on the time series, a Pearson correlation coefficient of over 0.98 was identified for both the HRV and PRV correlations, that is for both methods employed. Moreover, based on the changes of the HRV and the PRV parameters, within the period of a week, the evolution of the state of fatigue of a subject has been highlighted. The HRV parameters result in being identical to the PPG parameters.","PeriodicalId":359645,"journal":{"name":"2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On the Heart rate variability and Pulse rate variability evaluations based on electrocardiographic and photoplethysmographic signals\",\"authors\":\"A. Podaru, V. David\",\"doi\":\"10.1109/ATEE52255.2021.9425317\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we have presented the heart rate variability (HRV) and pulse rate variability parameters (PRV) obtained for ten simultaneous electrocardiographic and photopletismographic signals recordings made twice a day, in the early morning and the evening, over the course of one week. First, a study regarding two methods of calculating the HRV parameters, namely at the effect of time series corrections and at the concordance between HRV and PRV, has been made. In the case of making corrections on the time series, a Pearson correlation coefficient of over 0.98 was identified for both the HRV and PRV correlations, that is for both methods employed. Moreover, based on the changes of the HRV and the PRV parameters, within the period of a week, the evolution of the state of fatigue of a subject has been highlighted. The HRV parameters result in being identical to the PPG parameters.\",\"PeriodicalId\":359645,\"journal\":{\"name\":\"2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ATEE52255.2021.9425317\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATEE52255.2021.9425317","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the Heart rate variability and Pulse rate variability evaluations based on electrocardiographic and photoplethysmographic signals
In this paper, we have presented the heart rate variability (HRV) and pulse rate variability parameters (PRV) obtained for ten simultaneous electrocardiographic and photopletismographic signals recordings made twice a day, in the early morning and the evening, over the course of one week. First, a study regarding two methods of calculating the HRV parameters, namely at the effect of time series corrections and at the concordance between HRV and PRV, has been made. In the case of making corrections on the time series, a Pearson correlation coefficient of over 0.98 was identified for both the HRV and PRV correlations, that is for both methods employed. Moreover, based on the changes of the HRV and the PRV parameters, within the period of a week, the evolution of the state of fatigue of a subject has been highlighted. The HRV parameters result in being identical to the PPG parameters.