Document Detail


Exercise and cardiac regulation: what can electrocardiographic time series tell us?
MedLine Citation:
PMID:  20561274     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
Electrocardiographic (ECG) monitoring allows temporal analysis of cardiac rhythm. We are usually interested in the variability of two components of the ECG: RR interval (a surrogate marker of cardiac interval) and QT interval (the duration of ventricular depolarization/repolarization). Quantification of RR rhythm, called heart rate variability (HRV) analysis, reflects the cardiac influences of the autonomic nervous system. QT variability provides insight regarding the risk of ventricular arrhythmia, and is at least partially independent of HRV. In this review, we consider the analysis of ECG time series during physical exercise. Our objectives were to show the variety of methods that can be used to characterize these time series data and to demonstrate "normal" changes in these characteristics during exercise and recovery. Attaining a comprehensive understanding of cardiac electrical conduction changes during exercise is not straightforward: analysis methods are numerous and results require careful interpretation. However, we recommend that assessment of both HRV and QT properties yields the most valuable information, the utility of which can be appreciated from the viewpoints of the athlete (e.g. providing feedback on the cardiac effects of training), the clinician (assisting in cardiovascular screening and exercise therapy evaluation) and the exercise physiologist (providing data for physiological process modelling).
Authors:
M J Lewis; A L Short
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Scandinavian journal of medicine & science in sports     Volume:  20     ISSN:  1600-0838     ISO Abbreviation:  Scand J Med Sci Sports     Publication Date:  2010 Dec 
Date Detail:
Created Date:  2010-12-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9111504     Medline TA:  Scand J Med Sci Sports     Country:  Denmark    
Other Details:
Languages:  eng     Pagination:  794-804     Citation Subset:  IM    
Copyright Information:
© 2010 John Wiley & Sons A/S.
Affiliation:
School of Engineering, Swansea University, Swansea, UK. m.j.lewis@swansea.ac.uk
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