Title :
Classification of heart rate variability (HRV) parameters by receiver operating characteristics (ROC)
Author :
Rao, Anju M. ; Ryoo, Han C. ; Akin, Ata ; Sun, Hun H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
Abstract :
Classical time and frequency domain analysis was performed on short-term heart rate variability (HRV) signal suitable for clinical trials. The indices derived from both methods were used to study the diagnostic ability of HRV non-invasively. Study considered HRV signals derived from ECG recordings obtained from PhysioNet database. The population under study consisted of 8 normal subjects (control group), 9 arrhythmic patients and 12 patients with severe congestive heart failure (CHF) class III and IV. The derived HRV indices were statistically tested using receiver operating characteristics (ROC). The ability of ROC to discriminate between normal and abnormal patient population was determined by studying the area under the ROC curve
Keywords :
autoregressive processes; electrocardiography; fast Fourier transforms; frequency-domain analysis; medical signal processing; signal classification; spectral analysis; time series; time-domain analysis; ECG recordings; FFT; PhysioNet database; RR intervals; arrhythmic patients; autonomic regulation; autoregressive model; congestive heart failure; diagnostic ability; frequency domain analysis; heart rate variability parameters classification; parasympathetic activity; receiver operating characteristics; short-term heart rate variability signal; spectral analysis; sympathetic activity; time domain analysis; Band pass filters; Databases; Electrocardiography; Frequency domain analysis; Heart rate variability; Power measurement; Resonant frequency; Rhythm; Spectral analysis; Testing;
Conference_Titel :
Bioengineering Conference, 2002. Proceedings of the IEEE 28th Annual Northeast
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-7419-3
DOI :
10.1109/NEBC.2002.999518