Análises do padrão de resposta da freqüência cardíaca pelos métodos de séries temporais e semiparamétrico e de sua variabilidade na determinação do limiar de anaerobiose

Abstract

TEIXEIRA, L.C.A. Analysis of the pattern of heart rate response by the time series and semiparametric methods and of its variability in the determination of the anaerobic threshold. Sao Carlos 2003, 69p. Dissertacao (mestrado) Escola de Engenharia de Sao Carlos / Faculdade de Medicina de Ribeirao Preto / Instituto de Quimica de Sao Carlos, Universidade de Sao Paulo. The objectives of the present study were to assess the heart rate (HR) response and its variability under resting conditions and during dynamic physical exercise, to determine the anaerobic threshold from the analysis of the HR responses during physical exercise using the autoregressive-integrated-moving average (ARIMA) and semi-parametric (SMP) mathematical and statistical models and the indices of heart rate variability (HRV), and to compare the degree of correlation between the three methods of analysis for the detection of changes in the pattern of HR response as an indicator of anaerobic threshold (AT). The study was conducted on 12 volunteers (median age: 42 years) considered to be active and healthy on the basis of clinical and cardiovascular evaluation of resting electrocardiogram (ECG) and of ECG during a continuous dynamic physical effort test of the step type (CDPET-S). The experimental protocol consisted of a discontinuous DPET-S (DDPET-S) with progressive 10 Watts increments starting from and initial power of 25 Watts. RR intervals (RRI) and HR obtained from ECG recordings in real time, beat to beat, were recorded using a signal processing system. The data were obtained in the resting condition for a period of 900 s with the subject in the supine position, for 900 s in the sitting position ,and with the subject sitting on the bicycle ergometer for 60 s at rest, for 360 s while exercising and for 60 s during recovery. We calculated mean HR, RMSSD and RRI indices at rest and during exercise, HRV time (t/∆HR t1 – t0 ) in seconds, where t1 is the instant when the highest HR value occurred during the period between 0 (t0) and 20 s after the beginning of physical exercise, and HR variation (∆HR)during the same interval. To determine AT from the analysis of the HR responses during physical exercise we used the ARIMA and SMP models. Data were analyzed statistically by the Wilcoxon test and by the Friedman test for multiple comparisons followed by the Dunn test. Correlation was calculated by the Spearman test and the level of significance was set at 5% in all analyses. Resting HR in the sitting position was higher than in the supine position (p<0.05), whereas HRV was similar.