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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Goh, Aik Craciun, Stefan Rao, Sudhir Cheney, David Gugel, Karl Sanchez, Justin C. Principe, Jose C. |
| Copyright Year | 2008 |
| Description | Author affiliation: Department of Pediatrics, Division of Neurology, University of Florida, Gainesville, 32611 USA (Sanchez, Justin C.) || Department of Electrical and Computer Engineering at the University of Florida, Gainesville, 32611 USA (Goh, Aik; Craciun, Stefan; Rao, Sudhir; Cheney, David; Gugel, Karl; Principe, Jose C.) |
| Abstract | A design challenge of portable wireless neural recording systems is the tradeoff between bandwidth and power consumption. This paper investigates the compression of neuronal recordings in real-time using a novel discriminating Linde-Buzo-Gray algorithm (DLBG) that preserves spike shapes while filtering background noise. The technique is implemented in a low power digital signal processor (DSP) which is capable of wirelessly transmitting raw neuronal recordings. Depending on the signal to noise ratio of the recording, the compression ratio can be tailored to the data to maximally preserve power and bandwidth. The approach was tested in real and synthetic data and achieved compression ratios between 184:1 and 10:1. |
| Starting Page | 4439 |
| Ending Page | 4442 |
| File Size | 607206 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424418145 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2008.4650196 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-08-20 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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