Correlation of autonomic function tests to the HRV signal analysed using short time Fourier transform

Author

Srikanth, T. ; Reddy, M.R.S. ; Prabhakar, D. ; Sridevi, M.R.

Author_Institution

Div. of Biomed. Eng., Indian Inst. of Technol., Madras, India

fYear

1996

fDate

29-31 Mar 1996

Firstpage

274

Lastpage

277

Abstract

In this work, traditional, clinical methods of evaluating autonomic neural control systems are compared with the newer method based on the signal processing applied on heart rate variability (HRV) signal. The information available from the time-frequency representation of HRV signals is useful in classifying the subject population into 4 classes namely normal, sympathetic loss, parasympathetic loss and combined losses. The results suggest that the presence of autonomic neuropathy can be clearly detected by short time HRV signal analysis possible in the clinical environment

Keywords

Fourier transforms; biocontrol; electrocardiography; medical signal processing; autonomic function tests; autonomic neural control systems evaluation; autonomic neuropathy; clinical environment; heart rate variability signal; parasympathetic loss; short time Fourier transform; subject population classification; sympathetic loss; Biomedical signal processing; Cardiology; Control systems; Diabetes; Heart rate; Heart rate variability; Signal analysis; Signal processing; System testing; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering Conference, 1996., Proceedings of the 1996 Fifteenth Southern

Conference_Location

Dayton, OH

Print_ISBN

0-7803-3131-1

Type

conf

DOI

10.1109/SBEC.1996.493168

Filename

493168