Spectral and Time Based Assessment of Meditative Heart Rate Signals

Spectral and Time Based Assessment of Meditative Heart Rate Signals

Автор: Ateke Goshvarpour, Mousa Shamsi, Atefeh Goshvarpour

Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp

Статья в выпуске: 4 vol.5, 2013 года.

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The objective of this article was to study the effects of Chi meditation on heart rate variability (HRV). For this purpose, the statistical and spectral measures of HRV from the RR intervals were analyzed. In addition, it is concerned with finding adequate Auto-Regressive Moving Average (ARMA) model orders for spectral analysis of the time series formed from RR intervals. Therefore, Akaike's Final Prediction Error (FPE) was taken as the base for choosing the model order. The results showed that overall the model order chosen most frequently for FPE was p = 8 for before meditation and p = 5 for during meditation. The results suggested that variety of orders in HRV models upon different psychological states could be due to some differences in intrinsic properties of the system.

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Heart rate variability, Meditation, Model order estimation, Spectral analysis, Time domain analysis

Короткий адрес: https://sciup.org/15012694

IDR: 15012694

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