WeChat Mini Program
Old Version Features

Quantifying the Autonomic Nervous System Influence on Heart Rate Turbulence Using Partial Least Squares Path Modeling.

CinC(2022)

Cited 0|Views20
Key words
acute myocardial infarction,autonomic nervous system influence,cardiac risk stratification,coronary artery disease,end-stage renal disease,heart rate turbulence,heart rate variability indices,Holter-monitor recordings,HRT parameters,partial least squares path modeling,physiological phenomenon,physiological variables,structural equation modeling,ventricular premature complex tachograms
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined