A. M. Bianchi, U. Scholz, Luca T. Mainardi, P. Orlandini, G. Pozza, Sergio Cerutti
{"title":"Extraction of the respiration influence from the heart rate variability signal by means of lattice adaptive filter","authors":"A. M. Bianchi, U. Scholz, Luca T. Mainardi, P. Orlandini, G. Pozza, Sergio Cerutti","doi":"10.1109/IEMBS.1994.412075","DOIUrl":null,"url":null,"abstract":"The respiratory sinus arrhythmia that influences the heart rate variability (HRV) signal is well quantifiable, by means of frequency analysis, in stationary conditions, when the respiration rate is uniform. In many physiological and pathological conditions, however, the respiration is characterized by transitions and variations which compromise the hypothesis of stationarity required for a correct spectral analysis. Here, an adaptive filter implemented in lattice form is employed for predicting the influence of respiration on the HRV and for separating this contribution from the other ones, namely from the low frequency (LF) oscillations also present in the HRV. The filter was employed for studying the sympatho-vagal balance in normal subjects during sleep, and in particular during transitions between different sleep stages.<<ETX>>","PeriodicalId":344622,"journal":{"name":"Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMBS.1994.412075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
The respiratory sinus arrhythmia that influences the heart rate variability (HRV) signal is well quantifiable, by means of frequency analysis, in stationary conditions, when the respiration rate is uniform. In many physiological and pathological conditions, however, the respiration is characterized by transitions and variations which compromise the hypothesis of stationarity required for a correct spectral analysis. Here, an adaptive filter implemented in lattice form is employed for predicting the influence of respiration on the HRV and for separating this contribution from the other ones, namely from the low frequency (LF) oscillations also present in the HRV. The filter was employed for studying the sympatho-vagal balance in normal subjects during sleep, and in particular during transitions between different sleep stages.<>
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
