A fuzzy filtering based system for maximal oxygen uptake prediction using heart rate variability analysis

Authors:
Mohit Kumar;Matthias Weippert;Steffi Kreuzfeld;Norbert Stoll;Regina Stoll
Affiliations:
Center for Life Science Automation, Rostock, Germany;Institute of Preventive Medicine, Faculty of Medicine, University of Rostock, Rostock, Germany;Institute of Preventive Medicine, Faculty of Medicine, University of Rostock, Rostock, Germany;Institute of Automation, University of Rostock, Rostock, Germany;Institute of Preventive Medicine, Faculty of Medicine, University of Rostock, Rostock, Germany
Venue:
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Year:
2009

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Abstract

An attempt has been made to predict the maximum oxygen uptake (VO2max) of an individual from a sub-maximum load test. The aim is to predict the VO2max from an analysis of the heart rate signal collected during the first 3 minutes of an incremental bicycle ergometer exercise test. The features of the heart rate signal are extracted in frequency domain using the continuous wavelet transform. The relationships between the signal features and corresponding VO2max are complicated by the uncertainties arising due to several factors (e.g. age, gender, etc.) related to individual behavior. A fuzzy filter is used for separating uncertainties from the modeling problem and then assessing the worst effect of uncertainties on the predicted VO2max. The method is studied with the experimental data of 49 subjects (24 females, 25 males, aged 28-56 years).