Quantitative analysis of heart rate variability signal in diabetic subjects

Sergio Cerutti, Anna Bianchi, Bruno Bontempi, Giancarlo Comi, Paolo Gianoglio, Diego Liberati, Piero Micossi, Maria Grazia Natali Sora

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

Abstract

An automatic procedure is presented for processing heart rate variability (HRV, taken from the ECG) and respiration of diabetic subjects with or without neuropathy. Spectral analysis is carried out using autospectra, cross-spectra, and coherence parametric methods (based on autoregressive modeling). Spectral parameters, and in particular the power associated with low-frequency LF) and high-frequency (HF) bands, as well as the contribution of the HRV spectrum coherent with respiration, seem to discriminate satisfactorily between diabetic subjects with and without neuropathy. These results were obtained from the control population when resting/standing and when respiration was controlled. This fact reflects the impact of neural control systems on heart rate and respiration.

Original languageEnglish
Title of host publicationIEEE/Engineering in Medicine and Biology Society Annual Conference
PublisherPubl by IEEE
Pages145-146
Number of pages2
Volume10
Editionpt 1
Publication statusPublished - Nov 1988
EventProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society - New Orleans, LA, USA
Duration: Nov 4 1988Nov 7 1988

Other

OtherProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityNew Orleans, LA, USA
Period11/4/8811/7/88

ASJC Scopus subject areas

  • Engineering(all)

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