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Influence of age and gender on complexity measures for short term heart rate variability analysis in healthy subjects.
In: Conf. Proc. IEEE Eng. Med. Biol. Soc. (35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, 3 - 7 July 2013, Osaka, Japan). Piscataway, NJ: IEEE, 2013. 5574-5577:6610813 ( ; 2013)
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.
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Publikationstyp
Artikel: Konferenzbeitrag
ISSN (print) / ISBN
1557-170X
Konferenztitel
35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, 3 - 7 July 2013, Osaka, Japan
Konferenzband
Conf. Proc. IEEE Eng. Med. Biol. Soc.
Quellenangaben
Band: 2013,
Seiten: 5574-5577,
Artikelnummer: 6610813
Verlag
IEEE
Verlagsort
Piscataway, NJ
Institut(e)
Institute of Epidemiology (EPI)
Institute of Biological and Medical Imaging (IBMI)
Institute of Biological and Medical Imaging (IBMI)