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… CONTINUE READING

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