Title :
Analysis of ECG by multipulse excited linear prediction model
Author :
Sivakumar, K.V. ; Niranjan, U.C. ; Murthy, I.S.N.
Author_Institution :
Department of Electrical Engineering, Indian Institute of Science, Bangalore 560 012, India
fDate :
Oct. 29 1992-Nov. 1 1992
Abstract :
He propose a new time domain method for efficient representation of the KCG and delineation of its component waves. The method is based on the multipulse Linear prediction (LP) coding which is being widely used in speech processing. The excitation to the LP synthesis filter consists of a few pulses defined by their locations and amplitudes. Based on the amplitudes and their distribution, the pulses are suitably combined to delineate the component waves. Beat to beat correlation in the ECG signal is used in QRS periodicity prediction. The method entails a data compression of 1 in 6. The method reconstructs the signal with an NMSE of less than 5%.
Keywords :
Approximation algorithms; Clustering algorithms; Electrocardiography; Prediction algorithms; Speech; Speech coding; Speech processing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
Conference_Location :
Paris, France
Print_ISBN :
0-7803-0785-2
Electronic_ISBN :
0-7803-0816-6
DOI :
10.1109/IEMBS.1992.5761217
