System identification for the ECG using CZT.
A new approach for extraction of clinically useful parameters from the ECG signal is presented using the system identification technique of CZT on the DCT-transformed signal. A one to one relationship between the model singularities and the significant points in the time signal is arrived at. The method allows the determination of R-R interval needed in rhythm analysis. The complex cepstrum is used for identifying and removing the effect of zeros outside the unit circle. A significant data compression of 1 in 10 is achieved. A large number of continuous strips of ECG data are analyzed and the results are presented.
Niranjan
U C
UC
Department of Electrical Engineering, Indian Institute of Science, Bangalore.
Murthy
I S
IS
D000465:Algorithms; D004562:Electrocardiography; D006327:Heart Block / Q000503:physiopathology; D008432:Mathematical Computing; D008954:Models, Biological; D009200:Myocardial Contraction; D012815:Signal Processing, Computer-Assisted