Title :
Compression of ECG data by vector quantization
Author :
Wang, Baohua ; Yuan, Guoxin
Author_Institution :
Dept. of Biomed. Eng., Shanghai Univ., China
Abstract :
The authors first estimate the ECG rate-distortion bound, which is the theoretical limit in the compression of the ECG data. They then present ECG data-compression schemes based on codebook quantizer and finite-state VQ (FSVQ), which are suitable for coding a correlative signal. Then, the authors´ modified FSVQ-based scheme is presented.
Keywords :
electrocardiography; medical signal processing; vector quantisation; ECG data compression; ECG rate-distortion bound; codebook quantizer; correlative signal coding; electrodiagnostics; theoretical compression limit; Databases; Distortion; Electrocardiography; Equations; Image coding; Parametric statistics; Rate-distortion; Signal sampling; Speech coding; Vector quantization; Algorithms; Biomedical Engineering; Data Interpretation, Statistical; Electrocardiography; Humans; Signal Processing, Computer-Assisted;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
