Power spectrum analysis of heart rate variability signal in neurological central and autonomic pathologies

Anna Bianchi, Sergio Cerutti, Giancarlo Comi, Maria Grazia Natali Sora

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Spectral analysis of heart rate variability and respiration was performed using an autoregressive model in the mono- and bivariate form for the study of central nervous system diseases. 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 peripheral autonomic nervous system, and from a group of normal subjects. Results show that the method reveals differences between pathological and normal subjects and among the different groups, and can be an useful tool in the studying disturbances of the nervous system.

Original languageEnglish
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
PublisherPubl by IEEE
Pages753-754
Number of pages2
Editionpt 2
ISBN (Print)0879425598
Publication statusPublished - 1990
EventProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Philadelphia, PA, USA
Duration: Nov 1 1990Nov 4 1990

Other

OtherProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityPhiladelphia, PA, USA
Period11/1/9011/4/90

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ASJC Scopus subject areas

  • Bioengineering

Cite this

Bianchi, A., Cerutti, S., Comi, G., & Natali Sora, M. G. (1990). Power spectrum analysis of heart rate variability signal in neurological central and autonomic pathologies. In Proceedings of the Annual Conference on Engineering in Medicine and Biology (pt 2 ed., pp. 753-754). Publ by IEEE.