轨道
发表于 2025-3-28 15:41:01
Huchuan Lu,Huajin Tang,Zhanshan Wangcesses such as heart rate, cardiac output, blood pressure, respiration, peripheral resistance etc. Therefore, there is a need for nonlinear, non-stationary, and multivariate approaches to assess cardiovascular interactions and their causal structure in health and disease.
Individual
发表于 2025-3-28 22:33:38
Kechuan Wu,Xiaoping Wang,Mian Lie provided. Especially, we will give their basic theoretical background, their main features and demonstrate their usefulness in different applications in the field of cardiovascular and cardiorespiratory time series analyses.
gene-therapy
发表于 2025-3-29 00:26:39
http://reply.papertrans.cn/24/2317/231667/231667_43.png
全面
发表于 2025-3-29 05:02:42
http://reply.papertrans.cn/24/2317/231667/231667_44.png
FAWN
发表于 2025-3-29 09:58:15
Advances in Neural Networks – ISNN 2020onal methods of wavelet analysis such as linear and nonlinear denoising, as well as more sophisticated methods based on fractal analysis and entropy. Applications of such algorithms to the analysis of the heartbeat dynamics are also described.
广口瓶
发表于 2025-3-29 12:43:44
Sarah Hadipour,Ala Tokhmpash,Bahram Shafaitional time-domain analysis, frequency-domain analysis and of newer complexity analysis. We then illustrate the techniques using real clinical data, allowing a comparison of the techniques, and also of the differences between normal heart rate variability and that associated with heart failure.
hemoglobin
发表于 2025-3-29 16:17:33
Chi Li,Yisha Liu,Fei Yan,Yan Zhuangiscale entropy analysis, and discuss some improvements that we, and others, have made regarding the definition of the time scales, its multivariate extension and improved methods for estimating the basic technique. Finally, the application of multiscale entropy to the analysis of cardiovascular data is summarized.
可卡
发表于 2025-3-29 19:54:18
http://reply.papertrans.cn/24/2317/231667/231667_48.png
SLING
发表于 2025-3-30 00:42:15
http://reply.papertrans.cn/24/2317/231667/231667_49.png
Tractable
发表于 2025-3-30 07:54:29
Multiscale Entropy: Recent Advancesiscale entropy analysis, and discuss some improvements that we, and others, have made regarding the definition of the time scales, its multivariate extension and improved methods for estimating the basic technique. Finally, the application of multiscale entropy to the analysis of cardiovascular data is summarized.