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|May 2, 2018
PubMed
Summary

High altitude exposure alters heart rate variability (HRV) complexity, with non-linear measures being more sensitive than traditional ones. This change is linked to perceived exertion but does not predict acute mountain sickness.

Keywords:
acute mountain sicknesscardiac patchheart rate variabilityhigh altitudenon-linearrating of perceived exertion

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Area of Science:

  • Physiology
  • Altitude Medicine
  • Cardiovascular Research

Background:

  • High altitude (HA) exposure impacts heart rate variability (HRV), potentially influencing acute mountain sickness (AMS).
  • Non-linear HRV analysis may offer unique insights into HA adaptation, but its relationship with AMS is underexplored.

Purpose of the Study:

  • To investigate the relationship between non-linear HRV measures and HA exposure.
  • To determine if non-linear HRV can predict AMS development.

Main Methods:

  • Sixteen servicemen were monitored at 800 m and up to 3600 m for eight nights.
  • Nocturnal inter-beat interval data were collected using cardiac patch monitors for HRV assessment.
  • Non-linear HRV indices (SampEn, D2, α1, α2, SD1/SD2) and rating of perceived exertion (RPE) were analyzed.

Main Results:

  • HA exposure significantly decreased SpO2 and increased heart rate, LLS, and RPE.
  • Non-linear HRV measures (SampEn, SD1/SD2, D2) decreased, while others (α1, α2) increased.
  • RPE correlated with several non-linear HRV indices, but HRV metrics did not predict AMS development.

Conclusions:

  • Non-linear HRV is more sensitive to HA effects than traditional HRV measures.
  • HA exposure induces a compensatory decrease in nocturnal HRV complexity, influenced by daily RPE.
  • HRV analysis, particularly non-linear measures, did not predict AMS in this study.