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Content Provider | IEEE Xplore Digital Library |
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Author | Tolbert, J.R. Kabali, P. Brar, S. Mukhopadhyay, S. |
Copyright Year | 2009 |
Description | Author affiliation: Georgia Institute of Technology, Atlanta GA, 30332 (Tolbert, J.R.; Kabali, P.; Brar, S.; Mukhopadhyay, S.) |
Abstract | We present a digital system for adaptive data compression for low power wireless transmission of Electroencephalography (EEG) data. The proposed system acts as a base-band processor between the EEG analog-to-digital front-end and RF transceiver. It performs a real-time accuracy energy trade-off for multi-channel EEG signal transmission by controlling the volume of transmitted data. We propose a multi-core digital signal processor for on-chip processing of EEG signals, to detect signal information of each channel and perform real-time adaptive compression. Our analysis shows that the proposed approach can provide significant savings in transmitter power with minimal impact on the overall signal accuracy. |
Starting Page | 5417 |
Ending Page | 5420 |
File Size | 468713 |
Page Count | 4 |
File Format | |
ISBN | 9781424432967 |
ISSN | 1557170X |
DOI | 10.1109/IEMBS.2009.5333943 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-09-03 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Electroencephalography Data compression Signal processing Signal detection Digital systems Adaptive systems Radio frequency Transceivers Digital signal processors Adaptive signal detection |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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