Ventilatory threshold detection: A new method based on heart rate variability

G. Merati, S. Rampichini, E. Cè, M. Sangiovanni, P. Castiglioni, M. Di Rienzo, A. Veicsteinas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Ventilatory threshold (VT) is one of the best indexes of aerobic fitness, but its evaluation is laborious and expensive. The High Frequency (HF) component of the heart-rate spectrum is influenced by ventilation: thus, changes in the HF component during exercise might reflect the ventilatory adaptations occurring at VT. Eleven subjects with different aerobic fitness levels were enrolled. RR time series were recorded during an incremental ergometric exercise. VT 2 (uncompensated ventilatory threshold) was identified by averaging the values from 2 traditional methods based on gas analysis and visual inspection of the ventilatory curve, and from the detection of a deflection point in respiratory sinus arrhythmia from the R-R interval spectrum. The agreement between the two methods of VT detection was high (mean percentage error=5%). Our results may provide a new simple and inexpensive method to detect VT during an exercise test based on heart rate data.

Original languageEnglish
Title of host publicationComputers in Cardiology
EditorsA. Murray
Pages221-224
Number of pages4
Volume31
Publication statusPublished - 2004
EventComputers in Cardiology 2004 - Chicago, IL, United States
Duration: Sep 19 2004Sep 22 2004

Other

OtherComputers in Cardiology 2004
Country/TerritoryUnited States
CityChicago, IL
Period9/19/049/22/04

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Software

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