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SPECTRAL ANALYSIS OF HEART RATE VARIABILITY WITH THE AUTOREGRESSIVE METHOD: WHAT MODEL ORDER TO CHOOSE?
Autoregressive Model Order
Power Spectral Analysis
Autoregressive Model Settings
Autonomous Nervous System
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Abstract
This work assessed the influence of the autoregressive model order(ARMO)on the spectral analysis of
the heart rate variability(HRV).A sample of 68 R–R series obtained from digital ECG records of young
healthy adults in the supine position was used. Normalized spectral indexes for each ARMO were
compared by Friedman test followed by the Dunn's procedure and statistical sginificance at P <0.05. The result showed that the AR method using orders from 9 to 25 produces normalized spectral parametrers statistically similar and, hence, the algorith commonly employed to estimate optimum order are not mandatory in this case.
Keywords
Heart Rate VariabilityAutoregressive Model Order
Power Spectral Analysis
Autoregressive Model Settings
Autonomous Nervous System
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