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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Al-Fahoum, A.S. |
| Copyright Year | 1997 |
| Abstract | Electrocardiograph (ECG) compression techniques are gaining momentum due to the huge database requirements and wide band communication channels needed to maintain high quality ECG transmission. Advances in computer software and hardware enable the birth of new techniques in ECG compression, aiming at high compression rates. In general, most of the introduced ECG compression techniques depend on their evaluation performance on either inaccurate measures or measures targeting random behavior of error. In this paper, a new wavelet-based quality measure is proposed. A new wavelet-based quality measure is proposed. The new approach is based on decomposing the segment of interest into frequency bands where a weighted score is given to the band depending on its dynamic range and its diagnostic significance. A performance evaluation of the measure is conducted quantitatively and qualitatively. Comparative results with existing quality measures show that the new measure is insensitive to error variation, is accurate, and correlates very well with subjective tests |
| Sponsorship | IEEE Engineering in Medicine and Biology Society IEEE Computer Society |
| Page Count | 10 |
| File Size | 450747 |
| Starting Page | 182 |
| Ending Page | 191 |
| File Format | |
| ISSN | 10897771 |
| Volume Number | 10 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Quality assessment Electrocardiography Databases Wideband Communication channels Software Hardware Computer errors Frequency Dynamic range wavelet transform Electrocardiograph (ECG) percent root mean-squared difference (PRD) wavelet-based weighted PRD measure (WWPRD) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications Biotechnology |
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