title: [A basis for application of cardiac contractility variability in the Evaluation and assessment of exercise and fitness].
abstract: Cardiac contractility variability (CCV) is a new concept which is introduced in the research field of cardiac contractility in recent years, that is to say, there are some disparities between cardiac contractilities when heart contracts. The changing signals of cardiac contractility contain a plenty of information on the cardiovascular function and disorder. In order to collect and analyze the message, we could quantitatively evaluate the tonicity and equilibrium of cardiac sympathetic nerve and parasympathetic nerve, and the effects of bio-molecular mechanism on the cardiovascular activities. By analyzing CCV, we could further understand the background of human being's heritage characteristics, nerve types, the adjusting mechanism, the molecular biology, and the adjustment of cardiac automatic nerve. With the development of the computing techniques, the digital signal processing method and its application in medical field, this analysis has been progressing greatly. By now, the assessment of CCV, just like the analysis of heart rate variability, is mainly via time domain and frequency domain analysis. CCV is one of the latest research fields in human cardiac signals being scarcely reported in the field of sports medicine; however, its research progresses are of important value for cardiac physiology and pathology in sports medicine and rehabilitation medicine.
authors.affiliation: Department of Sports Medicine, Chengdu Sport University, Chengdu 610041, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Bu
authors.forename: Aihua
authors.initials: A
authors.lastname: Wang
authors.forename: Haijun
authors.initials: H
authors.lastname: Han
authors.forename: Shouzhong
authors.initials: S
authors.lastname: Xiao
mesh_terms: D001341:Autonomic Nervous System / Q000502:physiology; D015444:Exercise / Q000502:physiology*; D006801:Humans; D009200:Myocardial Contraction / Q000502:physiology*; D010701:Phonocardiography / Q000379:methods; D012815:Signal Processing, Computer-Assisted