標(biāo)題: Titlebook: Complexity and Nonlinearity in Cardiovascular Signals; Riccardo Barbieri,Enzo Pasquale Scilingo,Gaetano V Book 2017 Springer International [打印本頁] 作者: CHAFF 時間: 2025-3-21 18:20
書目名稱Complexity and Nonlinearity in Cardiovascular Signals影響因子(影響力)
書目名稱Complexity and Nonlinearity in Cardiovascular Signals影響因子(影響力)學(xué)科排名
書目名稱Complexity and Nonlinearity in Cardiovascular Signals網(wǎng)絡(luò)公開度
書目名稱Complexity and Nonlinearity in Cardiovascular Signals網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Complexity and Nonlinearity in Cardiovascular Signals被引頻次
書目名稱Complexity and Nonlinearity in Cardiovascular Signals被引頻次學(xué)科排名
書目名稱Complexity and Nonlinearity in Cardiovascular Signals年度引用
書目名稱Complexity and Nonlinearity in Cardiovascular Signals年度引用學(xué)科排名
書目名稱Complexity and Nonlinearity in Cardiovascular Signals讀者反饋
書目名稱Complexity and Nonlinearity in Cardiovascular Signals讀者反饋學(xué)科排名
作者: 凝視 時間: 2025-3-21 23:04
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作者: languor 時間: 2025-3-22 00:33 作者: atopic-rhinitis 時間: 2025-3-22 04:40 作者: FLIT 時間: 2025-3-22 09:00
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作者: 針葉樹 時間: 2025-3-22 13:44 作者: 針葉樹 時間: 2025-3-22 19:48
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作者: hemorrhage 時間: 2025-3-23 01:09
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作者: Needlework 時間: 2025-3-23 04:51
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作者: lattice 時間: 2025-3-23 06:23 作者: 恃強凌弱 時間: 2025-3-23 11:34
Heart Rate Complexity Associated with Diabetic Cardiac Neuropathyonal 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作者: AMOR 時間: 2025-3-23 15:41 作者: conjunctivitis 時間: 2025-3-23 20:29 作者: 咯咯笑 時間: 2025-3-23 22:37
Book 2017 such as recent advances in measuring complexity, nonlinearity, and information-theoretic concepts applied to coupled dynamical systems..Comprehensively describes applications of analytic technique to clinical scenarios such as heart failure, depression and mental disorders, atrial fibrillation, acu作者: DEI 時間: 2025-3-24 04:19 作者: Gratuitous 時間: 2025-3-24 09:39
Complexity and Nonlinearity in Cardiovascular Signals978-3-319-58709-7作者: 與野獸博斗者 時間: 2025-3-24 12:37
Riccardo Barbieri,Enzo Pasquale Scilingo,Gaetano VExpertly reviews cutting-edge research, such as recent advances in multiscale entropy and information-theoretic concepts applied to coupled dynamical systems.Comprehensively describes applications of 作者: sultry 時間: 2025-3-24 18:05 作者: 充滿人 時間: 2025-3-24 19:17
https://doi.org/10.1007/978-3-319-58709-7Approximate Entropy; ARFIMA-GARCH Modelling; Atrial Fibrillation; Compression Entropy; Detrended Fluctua作者: explicit 時間: 2025-3-25 00:33
978-3-319-86458-7Springer International Publishing AG 2017作者: 一大群 時間: 2025-3-25 03:55 作者: maladorit 時間: 2025-3-25 11:20
Kechuan Wu,Xiaoping Wang,Mian Liditions, and thus providing additional prognostic information. In this chapter prominent complexity methods of non-linear dynamics as symbolic dynamics, Poincaré plot analyses, and compression entropy are introduced and their algorithmic implementations and application examples in clinical trials ar作者: 使增至最大 時間: 2025-3-25 14:48
Lecture Notes in Computer Scienceo decompose the entropy of an assigned target system into components reflecting the information stored in the system and the information transferred to it from the other systems, as well as the nature (synergistic or redundant) of the information transferred to the target. The decomposition leads to作者: 1FAWN 時間: 2025-3-25 17:36
Chi Li,Yisha Liu,Fei Yan,Yan Zhuangropy measures is it enables quantification of nonlinear dynamics underlying physiological processes over multiple time scales. The basic idea of multiscale entropy was initially developed in 2002 and has since witnessed considerable progress in methodological expansions along with growing applicatio作者: Longitude 時間: 2025-3-25 21:05 作者: 不能和解 時間: 2025-3-26 00:14 作者: Dorsal 時間: 2025-3-26 04:36 作者: Pillory 時間: 2025-3-26 08:46
Mária Marko?ová,Liz Franz,?ubica Beňu?kováoperties in a wide range of biological nonlinear systems, including cardiovascular control. In this chapter, we present recent methodological advances allowing to effectively estimate instantaneous approximate and sample entropy measures, as well as the instantaneous Lyapunov spectrum of a series of作者: configuration 時間: 2025-3-26 14:26
New Neuron Model for Blind Source Separationinternal and external perturbations. The assessment of changes in cardiovascular signals and in their interactions provides valuable information regarding the cardiovascular function. Time-frequency analysis is a useful tool to study the time-varying nature of the cardiovascular system because it pr作者: 陰險 時間: 2025-3-26 19:56 作者: Acupressure 時間: 2025-3-26 21:12 作者: LIMN 時間: 2025-3-27 05:08 作者: jumble 時間: 2025-3-27 08:15 作者: Tincture 時間: 2025-3-27 10:46 作者: FEMUR 時間: 2025-3-27 14:55 作者: 現(xiàn)代 時間: 2025-3-27 21:41 作者: 音樂戲劇 時間: 2025-3-28 01:34 作者: 畢業(yè)典禮 時間: 2025-3-28 03:52 作者: 催眠藥 時間: 2025-3-28 07:58 作者: 自愛 時間: 2025-3-28 13:25
Applications of Complexity Analysis in Clinical Heart Failuretional 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.作者: 軌道 時間: 2025-3-28 15:41
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.作者: Individual 時間: 2025-3-28 22:33
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.作者: gene-therapy 時間: 2025-3-29 00:26 作者: 全面 時間: 2025-3-29 05:02 作者: FAWN 時間: 2025-3-29 09:58
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.作者: 廣口瓶 時間: 2025-3-29 12:43
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.作者: hemoglobin 時間: 2025-3-29 16:17
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.作者: 可卡 時間: 2025-3-29 19:54 作者: SLING 時間: 2025-3-30 00:42 作者: Tractable 時間: 2025-3-30 07:54
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.作者: 大吃大喝 時間: 2025-3-30 09:51
Applications of Heartbeat Complexity Analysis to Depression and Bipolar Disorderitation or long-term monitoring. Results demonstrate that complexity measures of cardiovascular dynamics can be promising and viable tools to support clinical decision in mental health, improving on the diagnosis and management of psychiatric disorders.作者: Fermentation 時間: 2025-3-30 15:22
Complex and Nonlinear Analysis of Heart Rate Variability in the Assessment of Fetal and Neonatal Welmeter analysis methods will be discussed with reference to new monitoring and diagnostic solutions. Results will be presented and discussed showing how sleep dynamics are related to cardiovascular control systems with the major focus of deeper investigating the development of human life in its early stages.作者: abject 時間: 2025-3-30 17:06 作者: 教唆 時間: 2025-3-31 00:04
