摘要
瞬态分析是心率变异性研究中富有挑战性的课题 .利用小波变换表征信号瞬态特征的能力 ,对静卧 -心算实验诱发的R R间期瞬态边沿进行了李氏指数和平滑因子的分析 .发现健康样本的李氏指数大于冠心病样本 ,并对此进行了初步的解释 .
Transient process analysis is one of the most challenging tasks in heart rate variability analysis.Wavelet transform has the ability to describe the transient characteristic of signal.In this paper,through wavelet transform,the Lipschitz exponent and smooth factor analysis of the transient edge of R?R interval,which is induced by rest-to-count experiment,is performed.It is found that the healthy testees' Lipschitz exponents are larger than the coronary heart disease patients'.The analysis results are explained simply.
出处
《同济大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2004年第5期676-679,共4页
Journal of Tongji University:Natural Science
关键词
小波变换
瞬态分析
李氏指数
心率变异性
冠心病
wavelet transform
transient changes analysis
Lipschitz exponent
heart rate variability
coronary heart disease