Literature DB >> 23358950

Influence of running stride frequency in heart rate variability analysis during treadmill exercise testing.

Raquel Bailón1, Nuria Garatachea, Ignacio de la Iglesia, Jose Antonio Casajús, Pablo Laguna.   

Abstract

The analysis and interpretation of heart rate variability (HRV) during exercise is challenging not only because of the nonstationary nature of exercise, the time-varying mean heart rate, and the fact that respiratory frequency exceeds 0.4 Hz, but there are also other factors, such as the component centered at the pedaling frequency observed in maximal cycling tests, which may confuse the interpretation of HRV analysis. The objectives of this study are to test the hypothesis that a component centered at the running stride frequency (SF) appears in the HRV of subjects during maximal treadmill exercise testing, and to study its influence in the interpretation of the low-frequency (LF) and high-frequency (HF) components of HRV during exercise. The HRV of 23 subjects during maximal treadmill exercise testing is analyzed. The instantaneous power of different HRV components is computed from the smoothed pseudo-Wigner-Ville distribution of the modulating signal assumed to carry information from the autonomic nervous system, which is estimated based on the time-varying integral pulse frequency modulation model. Besides the LF and HF components, the appearance is revealed of a component centered at the running SF as well as its aliases. The power associated with the SF component and its aliases represents 22±7% (median±median absolute deviation) of the total HRV power in all the subjects. Normalized LF power decreases as the exercise intensity increases, while normalized HF power increases. The power associated with the SF does not change significantly with exercise intensity. Consideration of the running SF component and its aliases is very important in HRV analysis since stride frequency aliases may overlap with LF and HF components.

Mesh:

Year:  2013        PMID: 23358950     DOI: 10.1109/TBME.2013.2242328

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  3 in total

1.  Methodological framework for heart rate variability analysis during exercise: application to running and cycling stress testing.

Authors:  David Hernando; Alberto Hernando; Jose A Casajús; Pablo Laguna; Nuria Garatachea; Raquel Bailón
Journal:  Med Biol Eng Comput       Date:  2017-09-26       Impact factor: 2.602

2.  Time-varying analysis of electrodermal activity during exercise.

Authors:  Hugo F Posada-Quintero; Natasa Reljin; Craig Mills; Ian Mills; John P Florian; Jaci L VanHeest; Ki H Chon
Journal:  PLoS One       Date:  2018-06-01       Impact factor: 3.240

3.  Spectral fusion-based breathing frequency estimation; experiment on activities of daily living.

Authors:  Iman Alikhani; Kai Noponen; Arto Hautala; Rahel Ammann; Tapio Seppänen
Journal:  Biomed Eng Online       Date:  2018-07-27       Impact factor: 2.819

  3 in total

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