Med Biol Eng Comput - Remote physiological and GPS data processing in evaluation of physical activities.

Tópicos

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Resumo

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.

Resumo Limpo

monitor data global posit system gps receiv remot sensor physiolog environment data allow form inform databas observ data process paper propos use databas analysi physic activ cycl main idea propos algorithm use crosscorrel heart rate altitud gradient evalu delay variabl studi time evolut data acquir ident cycl rout km long includ segment length s record vari sampl period general statist digit signal process method use includ mathemat tool reject gross error resampl use select interpol method digit filter nois signal compon estim crosscorrel posit data physiolog signal result regress gps physiolog data includ estim time delay heart rate chang gradient altitud s decreas train rout

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