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Evaluating transient phenomena by wavelet analysis: early recovery to exercise.

Lana Kralj1, Nejka Potočnik1, Helena Lenasi1

  • 1Institute of Physiology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.

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Summary

Wavelet analysis (WA) effectively analyzes transient microcirculation changes after exercise. Endothelial nitric oxide-dependent and respiratory influences increased, while myogenic influence decreased, particularly in finger pulp.

Keywords:
laser-Doppler flowmetrymicrocirculationrecovery to dynamic exercisetransient phenomenawavelet analysis

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Area of Science:

  • Physiology
  • Biomedical Engineering
  • Signal Processing

Background:

  • Cutaneous microcirculation recovery after exercise is complex and transient.
  • Conventional spectral analysis struggles to analyze these dynamic changes.
  • Early recovery phase is crucial for thermal homeostasis but poorly understood.

Purpose of the Study:

  • To apply wavelet analysis (WA) for time-frequency decomposition of laser-Doppler (LD) signals during early recovery from exercise.
  • To investigate the physiological mechanisms controlling microcirculation in glabrous and nonglabrous skin during this transient phase.
  • To highlight the utility of WA in analyzing complex, non-stationary biological signals.

Main Methods:

  • Developed a custom wavelet analysis (WA) algorithm.
  • Measured laser-Doppler (LD) signals from finger pulp and forearm during baseline and early recovery after dynamic exercise.
  • Decomposed LD signals into power spectra corresponding to endothelial nitric oxide (NO)-dependent, neurogenic, myogenic, respiratory, and cardiac influences.
  • Calculated relative power (RP) for each frequency interval.

Main Results:

  • Wavelet analysis revealed significant increases in endothelial NO-dependent and respiratory components, and a decrease in the myogenic component in finger pulp during early recovery.
  • The forearm showed a significant increase only in the endothelial NO-dependent component.
  • These changes indicate a differential regulation of microcirculation in glabrous versus nonglabrous skin post-exercise.

Conclusions:

  • Wavelet analysis is an indispensable tool for assessing transient phenomena in biological signals like cutaneous microcirculation.
  • The early recovery phase post-exercise involves distinct shifts in regulatory mechanisms, with a notable role for endothelial NO-dependent influence.
  • Microcirculatory responses differ between glabrous and nonglabrous skin during recovery, suggesting site-specific physiological control.