The heartbeat time series of the electrocardiogram recorded during stress test is non stationary, showing both decreasing and increasing trends and time variability of the variance. The analysis of the extrema is used to investigate the durations of accelerations and decelerations of the residuals obtained subtracting the trend. The time mean of these durations is used as a statistic to test the hypothesis that the residuals are independent and identically distributed (i.i.d.) variables. In this hypothesis the expectation of the statistic is 3/2; the rejection region of the test is computed by numerical simulation. Data analysis performed over the heartbeat series of 14 healthy subjects shows that the mean is significantly greater 3/2 and different in stress and recovery.
Time series analysis of data from stress ECG / Cammarota, Camillo. - 82:(2009), pp. 156-164. (Intervento presentato al convegno 2008 Conference SIMAI tenutosi a Roma nel 15/09/2008 - 19/09/2008) [10.1142/9789814280303_0014].
Time series analysis of data from stress ECG
CAMMAROTA, Camillo
2009
Abstract
The heartbeat time series of the electrocardiogram recorded during stress test is non stationary, showing both decreasing and increasing trends and time variability of the variance. The analysis of the extrema is used to investigate the durations of accelerations and decelerations of the residuals obtained subtracting the trend. The time mean of these durations is used as a statistic to test the hypothesis that the residuals are independent and identically distributed (i.i.d.) variables. In this hypothesis the expectation of the statistic is 3/2; the rejection region of the test is computed by numerical simulation. Data analysis performed over the heartbeat series of 14 healthy subjects shows that the mean is significantly greater 3/2 and different in stress and recovery.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
