S. I. Shah, V. Shusterman, B. Aysin, S. Flanigan, K. P. Anderson
{"title":"平视倾斜时心率变异性的瞬时变化表现为正时频分布","authors":"S. I. Shah, V. Shusterman, B. Aysin, S. Flanigan, K. P. Anderson","doi":"10.1109/TFSA.1998.721409","DOIUrl":null,"url":null,"abstract":"Energy distribution of the heart rate variability signal is perturbed in patients with impaired cardiac function compared to normal subjects (Li et al., 1997). We hypothesized that the energy distribution reflects the changes in autonomic regulation that are not exposed by conventional methods estimating the power in the empirically defined frequency ranges. To test this hypothesis instantaneous power changes in the heart rate variability signal were computed between 0.0025 and 0.25 Hz in 20 patients undergoing head-up tilting. Positive time frequency distribution (TFD) was obtained by the method of minimum cross entropy (Loughlin et al., 1994) that satisfies the time and frequency marginals. The distribution of power was calculated by separating the total frequency range into seven scales. Significant changes in the mean spectral power and its distribution were observed in those patients who experienced symptoms compared to those who were asymptomatic. We conclude that the loss of spectral power and changes in the power distribution revealed by positive TFD can be useful for assessment of physiological adaptation and diagnosis of the disorders related to autonomic imbalance.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Instantaneous changes in the heart rate variability during head-up tilt revealed by positive time-frequency distribution\",\"authors\":\"S. I. Shah, V. Shusterman, B. Aysin, S. Flanigan, K. P. Anderson\",\"doi\":\"10.1109/TFSA.1998.721409\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Energy distribution of the heart rate variability signal is perturbed in patients with impaired cardiac function compared to normal subjects (Li et al., 1997). We hypothesized that the energy distribution reflects the changes in autonomic regulation that are not exposed by conventional methods estimating the power in the empirically defined frequency ranges. To test this hypothesis instantaneous power changes in the heart rate variability signal were computed between 0.0025 and 0.25 Hz in 20 patients undergoing head-up tilting. Positive time frequency distribution (TFD) was obtained by the method of minimum cross entropy (Loughlin et al., 1994) that satisfies the time and frequency marginals. The distribution of power was calculated by separating the total frequency range into seven scales. Significant changes in the mean spectral power and its distribution were observed in those patients who experienced symptoms compared to those who were asymptomatic. We conclude that the loss of spectral power and changes in the power distribution revealed by positive TFD can be useful for assessment of physiological adaptation and diagnosis of the disorders related to autonomic imbalance.\",\"PeriodicalId\":395542,\"journal\":{\"name\":\"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TFSA.1998.721409\",\"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 the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TFSA.1998.721409","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
与正常受试者相比,心功能受损患者心率变异性信号的能量分布受到干扰(Li et al., 1997)。我们假设能量分布反映了自主调节的变化,而这些变化是传统方法在经验定义的频率范围内估计功率所无法暴露的。为了验证这一假设,我们计算了20例平视倾斜患者心率变异性信号在0.0025至0.25 Hz之间的瞬时功率变化。采用最小交叉熵法(Loughlin et al., 1994)得到满足时间和频率边界的正时频分布(TFD)。通过将总频率范围划分为七个尺度来计算功率的分布。与无症状患者相比,有症状患者的平均谱功率及其分布发生了显著变化。我们得出结论,TFD阳性所显示的频谱功率损失和功率分布的变化可用于评估生理适应和诊断与自主神经失衡相关的疾病。
Instantaneous changes in the heart rate variability during head-up tilt revealed by positive time-frequency distribution
Energy distribution of the heart rate variability signal is perturbed in patients with impaired cardiac function compared to normal subjects (Li et al., 1997). We hypothesized that the energy distribution reflects the changes in autonomic regulation that are not exposed by conventional methods estimating the power in the empirically defined frequency ranges. To test this hypothesis instantaneous power changes in the heart rate variability signal were computed between 0.0025 and 0.25 Hz in 20 patients undergoing head-up tilting. Positive time frequency distribution (TFD) was obtained by the method of minimum cross entropy (Loughlin et al., 1994) that satisfies the time and frequency marginals. The distribution of power was calculated by separating the total frequency range into seven scales. Significant changes in the mean spectral power and its distribution were observed in those patients who experienced symptoms compared to those who were asymptomatic. We conclude that the loss of spectral power and changes in the power distribution revealed by positive TFD can be useful for assessment of physiological adaptation and diagnosis of the disorders related to autonomic imbalance.