CHAFF
发表于 2025-3-21 18:20:15
书目名称Complexity and Nonlinearity in Cardiovascular Signals影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0231667<br><br> <br><br>书目名称Complexity and Nonlinearity in Cardiovascular Signals影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0231667<br><br> <br><br>书目名称Complexity and Nonlinearity in Cardiovascular Signals网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0231667<br><br> <br><br>书目名称Complexity and Nonlinearity in Cardiovascular Signals网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0231667<br><br> <br><br>书目名称Complexity and Nonlinearity in Cardiovascular Signals被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0231667<br><br> <br><br>书目名称Complexity and Nonlinearity in Cardiovascular Signals被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0231667<br><br> <br><br>书目名称Complexity and Nonlinearity in Cardiovascular Signals年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0231667<br><br> <br><br>书目名称Complexity and Nonlinearity in Cardiovascular Signals年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0231667<br><br> <br><br>书目名称Complexity and Nonlinearity in Cardiovascular Signals读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0231667<br><br> <br><br>书目名称Complexity and Nonlinearity in Cardiovascular Signals读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0231667<br><br> <br><br>
凝视
发表于 2025-3-21 23:04:48
https://doi.org/10.1007/978-3-642-02490-0 This chapter illustrates the main methods used in literature for assessing the self-similarity of cardiovascular time series, especially focusing on methods based on the popular Detrended Fluctuation Analysis (DFA) algorithm. In particular, it reviews applications of DFA that describe the cardiovas
languor
发表于 2025-3-22 00:33:35
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atopic-rhinitis
发表于 2025-3-22 04:40:42
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FLIT
发表于 2025-3-22 09:00:02
https://doi.org/10.1007/978-3-030-51041-1onal analytics are required that are sensitive yet robust enough to adequately describe this complexity. Entropy measures are a natural candidate for this application as they are able to estimate information content or complexity of the heart rate..A number of different approaches have been used, as
针叶树
发表于 2025-3-22 13:44:47
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针叶树
发表于 2025-3-22 19:48:45
Information Decomposition: A Tool to Dissect Cardiovascular and Cardiorespiratory Complexityll as the interaction between cardiovascular and cardiorespiratory effects. The analysis of head-up and head-down tilt test protocols demonstrates the relevance of information decomposition in dissecting cardiovascular control mechanisms and accept or reject physiological hypotheses about their acti
hemorrhage
发表于 2025-3-23 01:09:16
Self-Similarity and Detrended Fluctuation Analysis of Cardiovascular Signals This chapter illustrates the main methods used in literature for assessing the self-similarity of cardiovascular time series, especially focusing on methods based on the popular Detrended Fluctuation Analysis (DFA) algorithm. In particular, it reviews applications of DFA that describe the cardiovas
Needlework
发表于 2025-3-23 04:51:50
Time-Frequency Analysis of Cardiovascular Signals and Their Dynamic Interactionsmic interactions between two or more non-stationary processes. Time-frequency coherence, phase-delay, phase-locking and partial-spectra are estimators that assess changes in the coupling and phase shift of signals generated by a complex system..This chapter introduces the reader to multivariate time
lattice
发表于 2025-3-23 06:23:48
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