2 research outputs found

    Correlation in the magnitude of heart.beat increments as a measure of nonlinearity

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    Se presenta una nueva medida de no-linealidad en series temporales basada en la cuantificación de las correlaciones en el módulo de la serie y se muestra su utilidad para el estudio de los cambios producidos en el ritmo cardíaco durante el ejercicio físico así como el efecto permanente de distintos tipos de entrenamiento en la variabilidad cardíaca.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

    Decrease of heart rate variability during exercise: An index of cardiorespiratory fitness

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    The present study proposes to measure and quantify the heart rate variability (HRV) changes during effort as a function of the heart rate and to test the capacity of the produced indices to predict cardiorespiratory fitness measures. Therefore, the beat-to-beat cardiac time interval series of 18 adolescent athletes (15.2 ± 2.0 years) measured during maximal graded effort test were detrended using a dynamical first-order differential equation model. HRV was then calculated as the standard deviation of the detrended RR intervals (SDRR) within successive windows of one minute. The variation of this measure of HRV during exercise is properly fitted by an exponential decrease of the heart rate: the SDRR is divided by 2 every increase of heart rate of 20 beats/min. The HR increase necessary to divide by 2 the HRV is linearly inversely correlated with the maximum oxygen consumption (r = -0.60, p = 0.006), the maximal aerobic power (r = -0.62, p = 0.006), and, to a lesser extent, to the power at the ventilatory thresholds (r = -0.53, p = 0.02 and r = -0.47, p = 0.05 for the first and second threshold). It indicates that the decrease of the HRV when the heart rate increases is faster among athletes with better fitness. This analysis, based only on cardiac measurements, provides a promising tool for the study of cardiac measurements generated by portable devices.</p
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