title: Remote physiological and GPS data processing in evaluation of physical activities.
abstract: The monitoring of data from global positioning system (GPS) receivers and remote sensors of physiological and environmental data allow forming an information database for observed data processing. In this paper, we propose the use of such a database for the analysis of physical activities during cycling. The main idea of the proposed algorithm is to use cross-correlations between the heart rate and the altitude gradient to evaluate the delay between these variables and to study its time evolution. The data acquired during 22 identical cycling routes, each about 130 km long, include more than 6,700 segments of length 60 s recorded with varying sampling periods. General statistical and digital signal processing methods used include mathematical tools to reject gross errors, resampling using selected interpolation methods, digital filtering of noise signal components, and estimating cross-correlations between the position data and the physiological signals. The results of a regression between GPS and physiological data include the estimate of the time delay between the heart rate change and gradient altitude of about 7.5 s and its decrease during each training route.
authors.affiliation: Department of Computing and Control Engineering, Institute of Chemical Technology in Prague, 166 28, Prague, Czech Republic, A.Prochazka@ieee.org.
authors.forename: Aleš
authors.initials: A
authors.lastname: Procházka
authors.forename: Saeed
authors.initials: S
authors.lastname: Vaseghi
authors.forename: Mohammadreza
authors.initials: M
authors.lastname: Yadollahi
authors.forename: Ondřej
authors.initials: O
authors.lastname: Tupa
authors.forename: Jan
authors.initials: J
authors.lastname: Mareš
authors.forename: Oldřich
authors.initials: O
authors.lastname: Vyšata
mesh_terms: D000465:Algorithms; D001642:Bicycling / Q000502:physiology; D040362:Geographic Information Systems; D005843:Geography; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D012044:Regression Analysis; D012815:Signal Processing, Computer-Assisted; D013686:Telemetry / Q000379:methods*