Title :
Scalar quantizers for compression of ECG signal with orthogonal transforms
Author :
Olmos, S. ; Rios, I. ; García, J. ; Jané, R. ; Laguna, P.
Author_Institution :
Dept. Ingenieria Electron. y Comunicaciones, Zaragoza Univ., Spain
Abstract :
The authors analyze several scalar quantizers applied to transform coding of ECG signals. In order to reduce the variance of the transform coefficient series predictive coding is used improving scalar quantizers performance. Due to the non-stationary nature of the ECG signal, adaptive predictors and quantizers are more suitable than fixed configurations. Best results are obtained with an adaptive-predictive adaptive uniform quantizer for on-line operation mode
Keywords :
data compression; electrocardiography; medical signal processing; quantisation (signal); transform coding; ECG signal compression; adaptive-predictive adaptive uniform quantizer; electrodiagnostics; on-line operation mode; scalar quantizers; transform coding; transform coefficient series variance reduction; Clinical diagnosis; Data compression; Decorrelation; Electrocardiography; Karhunen-Loeve transforms; Predictive coding; Quantization; Signal analysis; Signal generators; Transform coding;
Conference_Titel :
Computers in Cardiology 1997
Conference_Location :
Lund
Print_ISBN :
0-7803-4445-6
DOI :
10.1109/CIC.1997.647922