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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Avila, A. Santoyo, R. Martinez, S.O. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Electr. Eng., ITESM Campus Monterrey (Avila, A.; Santoyo, R.; Martinez, S.O.) |
| Abstract | This paper presents the design and evaluation of a signal compression subsystem for an ambulatory EEG system. Ambulatory systems require low power consumption and offer a significant reduction of the patient's incommodity during the EEG signal monitoring process. Hardware/Software co-design techniques were applied during the design of the EEG signal compression subsystem. A methodology for evaluating the efficiency of the hardware/software partitioning was applied to optimize the power consumption and to minimize the complexity of the hardware portion of the algorithm. The results show a significant reduction in the total execution time of the compression algorithm and a moderate reduction on the power consumption of the subsystem |
| Starting Page | 125 |
| Ending Page | 129 |
| File Size | 92652 |
| Page Count | 5 |
| File Format | |
| ISBN | 1424400414 |
| DOI | 10.1109/ICCDCS.2006.250848 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-04-26 |
| Publisher Place | Mexico |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Hardware Electroencephalography Energy consumption Patient monitoring Signal design Signal processing Optimization methods Partitioning algorithms Software algorithms Compression algorithms discrete cosine transform (DCT) Hardware/Software co-design EEG signal compression |
| Content Type | Text |
| Resource Type | Article |
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