Title :
Analysis by synthesis ECG signal compression
Author :
Zigel, Y. ; Cohen, A. ; Abu-Ful, A. ; Wagshal, A. ; Katz, A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
Abstract :
The authors introduce a new ECG compression algorithm, and a new distortion measure. The distortion measure, called the Weighted Diagnostic Distortion (WDD), is based on comparing PQRST complex features (such as: RR interval, QT interval, ST elevation, etc.) of the original ECG signal and the reconstructed one. The compression algorithm is based on analysis by synthesis coding. It consists of a beat codebook, long and short term predictors, and an adaptive residual quantizer. The compression algorithm uses the WDD measure in order to encode, by means of analysis by synthesis, every beat of the original ECG signal. The compression algorithm has been applied to the MIT-BIH Arrhythmia Database. A rate of approximately 100 bits per second has been achieved with a very good quality (WDD below 4%, and PRD below 8%)
Keywords :
data compression; electrocardiography; medical signal processing; ECG compression algorithm; MIT-BIH Arrhythmia Database; PQRST complex features; QT interval; RR interval; ST elevation; adaptive residual quantizer; beat codebook; distortion measure; electrodiagnostics; long term predictor; short term predictor; synthesis ECG signal compression; synthesis coding; weighted diagnostic distortion; Algorithm design and analysis; Biomedical engineering; Cardiology; Compression algorithms; Distortion measurement; Electrocardiography; Medical diagnostic imaging; Signal analysis; Signal synthesis; Weight measurement;
Conference_Titel :
Computers in Cardiology 1997
Conference_Location :
Lund
Print_ISBN :
0-7803-4445-6
DOI :
10.1109/CIC.1997.647885