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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chia-Yuan Huang Shaou-Gang Miaou |
| Copyright Year | 2001 |
| Description | Author affiliation: Dept. of Electron. Eng., Chung Yuan Christian Univ., Chung-li, Taiwan (Chia-Yuan Huang) |
| Abstract | Recently, the set partitioning in hierarchical tree (SPIHT) was shown to be an excellent algorithm for ECG compression. However, how it performs in a cellular phone based wireless environment for telemedicine applications is not known. In this paper, a joint design for SPIHT-based ECG data compression method over a next-generation mobile telecardiology testbed based on the 3G cellular phone standard is proposed and the performance of the testbed for the compressed ECG data segments selected from the MIT-BIH arrhythmia database is evaluated in terms of BER (bit error rate), PRD (percent of root-mean-square difference), compression ratio (CR), transmission time, and diagnostic quality. The simulation results show that during the successful transmission of compressed ECG (when BER is less than 10/sup -5/), a CR of 8:1 provides a 87.5% reduction in total transmission time and a higher CR up to 20 can reduce up to 95% of the required time to transmit the ECG. Furthermore, most characteristics of the received ECG waveform, such as P wave, QRS complex, and T wave, can be reserved with clinically acceptable quality. |
| Starting Page | 3525 |
| Ending Page | 3528 |
| File Size | 434824 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780372115 |
| ISSN | 1094687X |
| DOI | 10.1109/IEMBS.2001.1019592 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-10-25 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electrocardiography Testing Telemedicine Cellular phones Data compression Bit error rate Chromium Databases Medical services Costs |
| Content Type | Text |
| Resource Type | Article |
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