Performance Evaluation of ECG Compression Algorithms using Classification of Signals based PQSRT Wave Features 


Vol. 37,  No. 4, pp. 313-320, Apr.  2012


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  Abstract

An ECG(Electrocardiogram) compression can increase the processing speed of system as well as reduce amount of signal transmission and data storage of long-term records. Whereas conventional performance evaluations of loss or lossless compression algorithms measure PRD(Percent RMS Difference) and CR(Compression Ratio) in the viewpoint of engineers, this paper focused on the performance evaluations of compression algorithms in the viewpoint of diagnostician who diagnosis ECG. Generally, for not effecting the diagnosis in the ECG compression, the position, length, amplitude and waveform of the restored signal of PQRST wave should not be damaged. AZTEC, a typical ECG compression algorithm, is validated its effectiveness in conventional performance evaluation. In this paper, we propose novel performance evaluation of AZTEC in the viewpoint of diagnostician.

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  Cite this article

[IEEE Style]

J. Koo and G. Choi, "Performance Evaluation of ECG Compression Algorithms using Classification of Signals based PQSRT Wave Features," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 4, pp. 313-320, 2012. DOI: .

[ACM Style]

Jung-joo Koo and Goang-seog Choi. 2012. Performance Evaluation of ECG Compression Algorithms using Classification of Signals based PQSRT Wave Features. The Journal of Korean Institute of Communications and Information Sciences, 37, 4, (2012), 313-320. DOI: .

[KICS Style]

Jung-joo Koo and Goang-seog Choi, "Performance Evaluation of ECG Compression Algorithms using Classification of Signals based PQSRT Wave Features," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 4, pp. 313-320, 4. 2012.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880