Application of linear and nonlinear time series modeling to heart rate dynamics analysis.
about
A Study of Probabilistic Models for Characterizing Human Heart Beat Dynamics in Autonomic Blockade Control.Assessment of autonomic control and respiratory sinus arrhythmia using point process models of human heart beat dynamics.Characterizing nonlinear heartbeat dynamics within a point process frameworkShort-term cardiovascular oscillations in man: measuring and modelling the physiologies.A unified point process probabilistic framework to assess heartbeat dynamics and autonomic cardiovascular controlMethods derived from nonlinear dynamics for analysing heart rate variability.Classification of arrhythmia using hybrid networks.Heart-rate control during pain and suggestions of analgesia without deliberate induction of hypnosis.Using Skewness and the First-Digit Phenomenon to Identify Dynamical Transitions in Cardiac Models.Measurement, Prediction, and Control of Individual Heart Rate Responses to Exercise—Basics and Options for Wearable Devices.
P2860
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P2860
Application of linear and nonlinear time series modeling to heart rate dynamics analysis.
description
1995 nî lūn-bûn
@nan
1995年の論文
@ja
1995年論文
@yue
1995年論文
@zh-hant
1995年論文
@zh-hk
1995年論文
@zh-mo
1995年論文
@zh-tw
1995年论文
@wuu
1995年论文
@zh
1995年论文
@zh-cn
name
Application of linear and nonlinear time series modeling to heart rate dynamics analysis.
@en
type
label
Application of linear and nonlinear time series modeling to heart rate dynamics analysis.
@en
prefLabel
Application of linear and nonlinear time series modeling to heart rate dynamics analysis.
@en
P2093
P356
P1476
Application of linear and nonlinear time series modeling to heart rate dynamics analysis.
@en
P2093
Bennett FM
Christini DJ
Hausdorff JM
Lutchen KR
P304
P356
10.1109/10.376135
P577
1995-04-01T00:00:00Z