{"title":"心率变异性分析的频域技术","authors":"Xiangguo Yan, Chongxun Zheng","doi":"10.1109/IEMBS.1995.579381","DOIUrl":null,"url":null,"abstract":"Two frequency domain techniques, fast Fourier transform (FFT) and maximum entropy estimation (MEE) methods for analyzing Heart Rate Variability (HRV), are described. Analysis results showed that low frequency components (LF:0.04-0.15 Hz) reflecting sympathetic nervous activity occupy a dominant position on day time, high frequency components (HF:0.4-0.40 Hz) reflecting vagal nervous activity become stronger at night. There is a cluster of peaks ranging from 0.20-0.30 Hz at night. In the morning, LF/HF ratio trend graphics changed sharply. This may be quite significant for predicting sudden death of an intensive heart disease patient. Both analysis results have a high degree of positive correlation, and cross-correlation coefficient is more than 0.99. However, MEE has a higher frequency resolution than FFT.","PeriodicalId":20509,"journal":{"name":"Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1995-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Frequency-domain techniques for heart rate variability analysis\",\"authors\":\"Xiangguo Yan, Chongxun Zheng\",\"doi\":\"10.1109/IEMBS.1995.579381\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Two frequency domain techniques, fast Fourier transform (FFT) and maximum entropy estimation (MEE) methods for analyzing Heart Rate Variability (HRV), are described. Analysis results showed that low frequency components (LF:0.04-0.15 Hz) reflecting sympathetic nervous activity occupy a dominant position on day time, high frequency components (HF:0.4-0.40 Hz) reflecting vagal nervous activity become stronger at night. There is a cluster of peaks ranging from 0.20-0.30 Hz at night. In the morning, LF/HF ratio trend graphics changed sharply. This may be quite significant for predicting sudden death of an intensive heart disease patient. Both analysis results have a high degree of positive correlation, and cross-correlation coefficient is more than 0.99. However, MEE has a higher frequency resolution than FFT.\",\"PeriodicalId\":20509,\"journal\":{\"name\":\"Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMBS.1995.579381\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMBS.1995.579381","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Frequency-domain techniques for heart rate variability analysis
Two frequency domain techniques, fast Fourier transform (FFT) and maximum entropy estimation (MEE) methods for analyzing Heart Rate Variability (HRV), are described. Analysis results showed that low frequency components (LF:0.04-0.15 Hz) reflecting sympathetic nervous activity occupy a dominant position on day time, high frequency components (HF:0.4-0.40 Hz) reflecting vagal nervous activity become stronger at night. There is a cluster of peaks ranging from 0.20-0.30 Hz at night. In the morning, LF/HF ratio trend graphics changed sharply. This may be quite significant for predicting sudden death of an intensive heart disease patient. Both analysis results have a high degree of positive correlation, and cross-correlation coefficient is more than 0.99. However, MEE has a higher frequency resolution than FFT.
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