Heart rate signal can be used as certain indicator of heart disease. Spectral analysis of heart
rate variability (HRV) signal makes it possible to partly separate the low-frequency (LF) …

本文利用多尺度排列熵对正常脑电信号和癫痫脑电信号进行了详细的分析和比较,
研究了脑电图信号多尺度排列熵值和年龄的关系以及尺度因子对多尺度排列熵值的影响 …

In healthcare, Electrocardiogram (ECG) signal is considered important to study life-
threatening heart diseases that include arrhythmia (ARR), congestive heart failure (CHF) …

Heart rate variability (HRV) parameters can be used as specific indicator of autonomic
nervous system (ANS) behavior. ANS, with its main two branches, sympathetic and …

Human body surface electrocardiogram (ECG) is non-stationary and frequency-varying by
nature that belongs to a typical nonlinear signal. Therefore, traditional linear and time …

利用两种基于熵的非线性复杂度测度: 近似熵和样本熵, 研究了专业射击运动员两种不同状态下(
休息和练习赛) 心率变异性信号的复杂度. 计算结果表明: 射击运动员休息时其心率变异性信号的 …

In this paper the decrease in the Hurst exponent of human gait with aging and
neurodegenerative diseases was observed by using an improved rescaled range (R/S) …

Complexity and nonlinearity approaches can be used to study the temporal and structural
order in heart rate variability (HRV) signal, which is helpful for understanding the underlying …

Heart sound is a kind of non-stationary and nonlinear signal with typical chaotic
characteristics. As everyone knows, exercise and age can influence heart function, will they …

The paper presents improvements to the Takens-Ellner (TE) algorithm estimating the
correlation dimension (d) of high-dimensional signals. The signal being the sum of 4 Lorenz …