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Power Spectrum Analysis Of Heart Rate Variability Signal In Neurological Central And Autonomic Pathologies

Spectral analysis of heart rate variability (HRV) and respiration was performed by means of an autoregressive (AR) model in the mono and bivariate form for the study of central nervous system (CNS) deseases. Spectral parameters were evaluated in a group of 10 Multiple Sclerosis and 10 Parkinson patients in different physiological conditions. They were compared with the same parameters obtained from a group of 10 diabetic patients with autonomic neuropathy, in which the damage was in the periferal autonomic nervous system (ANS), and from a group of normal subjects. The method seems to evidence differences between pathological and normal subjects and among the different groups and can be an useful tool in the study of many disturbances of the nervous system.