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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hilbel, T. Lux, R.L. Dietzsch, J. Schliephake, M. Katus, H.A. |
| Copyright Year | 2008 |
| Description | Author affiliation: Univ. of Heidelberg, Heidelberg (Katus, H.A.) || High Performance Comput. Center Stuttgart, Stuttgart (Schliephake, M.) || Univ. of Appl. Sci. Gelsenkirchen, Gelsenkirchen (Hilbel, T.) || Univ. of Tubingen, Tubingen (Dietzsch, J.) || CVRTI, Univ. of Utah, Salt Lake City, UT (Lux, R.L.) |
| Abstract | Modern Holter recorders allow the acquisition of 12 lead ECGs with a sampling rate of 1 KHz or higher and a resolution of 16 bits over more than 24 h. While large volumes of data can be easily stored on flash memory cards the analysis of these biosignals requires considerable calculation power and network bandwidth. In general, processing time is important when hundreds of digital recordings from large study groups need to be analyzed. The objective of the following investigation is to address the question: Can performance and productivity benefits in ECG analysis be achieved using multi-core processor technology? Because these processors have two or more processing cores they can perform parallel processing. The results show that segmentation of Holter data and running the same program multiple times simultaneously can dramatically speedup the computing performance. |
| Starting Page | 1069 |
| Ending Page | 1072 |
| File Size | 364641 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424437061 |
| ISSN | 02766547 |
| DOI | 10.1109/CIC.2008.4749230 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-09-14 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Computers in Cardiology(CinC) |
| Subject Keyword | Productivity Multicore processing Performance analysis Electrocardiography Digital recording Testing Parallel processing Sampling methods Flash memory Bandwidth |
| Content Type | Text |
| Resource Type | Article |
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