Power spectrum analysis of heart rate variability signal in the diagnosis of diabetic neuropathy

Sergio Cerutti, Anna Bianchi, Bruno Bontempi, Giancarlo Comi, Paolo Gianoglio, Maria Grazia Natali

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

Abstract

A clinical test based on the cross-spectral analysis of heart-rate variability (HRV obtained from ECG) and respiration is proposed for the assessment of autonomic diabetic neuropathy. The analysis was performed by means of an autoregressive model in bivariate form, and autospectra, cross spectra, and squared coherence functions were evaluated. Spectral parameters and, in particular, the power of the HRV signal which is coherent and which is not coherent with respiration are considered during different physiological conditions. In a first step, a group of 20 normal subjects underwent this test and ranges of normality were obtained for each parameter. In a second step, diabetic patients were analyzed and the obtained values of the spectral parameters were compared with the normality ranges. The proposed test recognizes patients with neuropathy and gives an earlier diagnosis of a compromission of the autonomic nervous system.

Original languageEnglish
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
EditorsYongmin Kim, Francis A. Spelman
PublisherPubl by Alliance for Engineering in Medicine & Biology
Pages12-13
Number of pages2
Volume11 pt 1
Publication statusPublished - Nov 1989
EventImages of the Twenty-First Century - Proceedings of the 11th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 1 - Seattle, WA, USA
Duration: Nov 9 1989Nov 12 1989

Other

OtherImages of the Twenty-First Century - Proceedings of the 11th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 1
CitySeattle, WA, USA
Period11/9/8911/12/89

ASJC Scopus subject areas

  • Bioengineering

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  • Cite this

    Cerutti, S., Bianchi, A., Bontempi, B., Comi, G., Gianoglio, P., & Natali, M. G. (1989). Power spectrum analysis of heart rate variability signal in the diagnosis of diabetic neuropathy. In Y. Kim, & F. A. Spelman (Eds.), Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 11 pt 1, pp. 12-13). Publ by Alliance for Engineering in Medicine & Biology.