Title :
A diagnostic meaningful distortion measure for ECG compression
Author :
Zigel, Yaniv ; Cohen, Amon ; Katz, Amos
Author_Institution :
Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
Abstract :
A new distortion measure for ECG signal compression is introduced. This diagnostic distortion measure, called the Weighted Diagnostic Distortion (WDD), is based on comparing the PQRST complex features (such as: P wave duration, P wave amplitude, P wave shape, QT duration, ST elevation, etc.) between two signals (original ECG signal and reconstructed ECG signal). Also in this article, a new compression algorithm is introduced, based on analysis by synthesis coding. In our compression system the encoder consists of a long term and a short term predictors and a quantizer with an adaptive number and values of levels, which are depended on the definition of maximum permitted distortion for each segment in the signal. The algorithm exhibits better results than other known compression algorithms
Keywords :
data compression; electrocardiography; medical signal processing; ECG signal compression; P wave amplitude; P wave duration; P wave shape; QT duration; ST elevation; compression algorithm; diagnostic distortion measure; diagnostic meaningful distortion measure; electrodiagnostics; long term predictor; maximum permitted distortion; original ECG signal; quantizer; reconstructed ECG signal; short term predictor; signal segment; synthesis coding; weighted diagnostic distortion; Compression algorithms; Distortion measurement; Electrocardiography; Information rates; Mean square error methods; Patient monitoring; Shape measurement; Signal processing; Solid state circuits; Weight measurement;
Conference_Titel :
Electrical and Electronics Engineers in Israel, 1996., Nineteenth Convention of
Conference_Location :
Jerusalem
Print_ISBN :
0-7803-3330-6
DOI :
10.1109/EEIS.1996.566907
