Journal
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
Volume 56, Issue 5, Pages 781-794Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s11517-017-1724-9
Keywords
Cardiolocomotor coupling; Stride cadence; Pedalling cadence; Non-stationary analysis
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Funding
- CIBER in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN) through Instituto de Salud Carlos III
- MINECO [TIN2014-53567-R]
- FEDER [TIN2014-53567-R]
- Grupo Consolidado BSICoS from DGA [T96]
- European Social Fund (EU)
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Standard methodologies of heart rate variability analysis and physiological interpretation as a marker of autonomic nervous system condition have been largely published at rest, but not so much during exercise. A methodological framework for heart rate variability (HRV) analysis during exercise is proposed, which deals with the non-stationary nature of HRV during exercise, includes respiratory information, and identifies and corrects spectral components related to cardiolocomotor coupling (CC). This is applied to 23 male subjects who underwent different tests: maximal and submaximal, running and cycling; where the ECG, respiratory frequency and oxygen consumption were simultaneously recorded. High-frequency (HF) power results largely modified from estimations with the standard fixed band to those obtained with the proposed methodology. For medium and high levels of exercise and recovery, HF power results in a 20 to 40% increase. When cycling, HF power increases around 40% with respect to running, while CC power is around 20% stronger in running.
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