Compressed Sensing of EEG for Wireless Telemonitoring With Low Energy Consumption and Inexpensive Hardware

@article{Zhang2013CompressedSO,
  title={Compressed Sensing of EEG for Wireless Telemonitoring With Low Energy Consumption and Inexpensive Hardware},
  author={Zhilin Zhang and Tzyy-Ping Jung and Scott Makeig and Bhaskar D. Rao},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2013},
  volume={60},
  pages={221-224}
}
Telemonitoring of electroencephalogram (EEG) through wireless body-area networks is an evolving direction in personalized medicine. Among various constraints in designing such a system, three important constraints are energy consumption, data compression, and device cost. Conventional data compression methodologies, although effective in data compression, consumes significant energy and cannot reduce device cost. Compressed sensing (CS), as an emerging data compression methodology, is promising… CONTINUE READING
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