NDLI: Influence of age and gender on complexity measures for short term heart rate variability analysis in healthy subjects

Content Provider	IEEE Xplore Digital Library
Author	Voss, A. Schroeder, R. Fischer, C. Heitmann, A. Peters, A. Perz, S.
Copyright Year	2013
Description	Author affiliation: Dept. of Med. Eng. & Biotechnol., Univ. of Appl. Sci. Jena, Jena, Germany (Voss, A.; Schroeder, R.) \|\| Inst. fur Epidemiologie II, Deutsches Forschungszentrum fur Gesundheit und Umwelt GmbH, Neuherberg, Germany (Peters, A.; Perz, S.)
Abstract	Short-term heart rate variability (HRV) analyses (less than 30min) are suitable for ambulatory care and patient monitoring and can provide an almost immediate test result. Short-term 5 min HRV indices from nonlinear dynamics were determined from 782 females and 1124 males from the KORA S4 database. We applied various fractal and complexity measures with focus on entropies and investigated the influence of age in terms of five age decades (25-34, 35-44, 45-54, 55-64 and 65-74 years) and gender on these HRV indices. The analyses revealed significant modifications of the indices especially by age but partly also by gender especially in the younger groups. These results should be considered in future studies applying nonlinear dynamics, especially if major age and gender differences between the investigated groups are expected.
Starting Page	5574
Ending Page	5577
File Size	516372
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6610813
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart rate variability Time series analysis Entropy Complexity theory Aging Doped fiber amplifiers
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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