Signal Processing: An International Journal | |
Performance Evaluation of Percent Root Mean Square Difference for ECG Signals Compression. | |
Rosli Besar1  Fazly Salleh Abas1  Rizwan Javaid1  | |
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关键词: ECG compression; thresholding; wavelet coding; | |
DOI : | |
学科分类:物理(综合) | |
来源: Computer Science Journals | |
【 摘 要 】
Electrocardiogram (ECG) signal compression is playing a vital role in biomedical applications. The signal compression is meant for detection and removing the redundant information from the ECG signal. Wavelet transform methods are very powerful tools for signal and image compression and decompression. This paper deals with the comparative study of ECG signal compression using preprocessing and without preprocessing approach on the ECG data. The performance and efficiency results are presented in terms of percent root mean square difference (PRD). Finally, the new PRD technique has been proposed for performance measurement and compared with the existing PRD technique; which has shown that proposed new PRD technique achieved minimum value of PRD with improved results.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201912040511340ZK.pdf | 305KB | download |