Title :
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
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;
Conference_Titel :
Biomedical Engineering Conference, 1996., Proceedings of the 1996 Fifteenth Southern
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-3131-1
DOI :
10.1109/SBEC.1996.493168
