Title :
Toward Energy Efficient Neural Interfaces
Author :
Peng, Chung-Ching ; Xiao, Zhiming ; Bashirullah, Rizwan
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
Abstract :
This letter presents progress toward an energy efficient neural data acquisition transponder for brain-computer interfaces. The transponder utilizes a four-channel time-multiplexed analog front-end and an energy efficient short-range backscattering RF link to transmit digitized wireless data. In addition, a low-complexity autonomous and adaptive digital neural signal processor is proposed to minimize wireless bandwidth and overall power dissipation.
Keywords :
biology computing; brain-computer interfaces; data acquisition; handicapped aids; medical signal processing; adaptive digital neural signal processor; brain-computer interfaces; energy efficient neural data acquisition transponder; energy efficient neural interfaces; energy efficient short-range backscattering RF link; four-channel time-multiplexed analog front-end; low-complexity autonomous neural signal processor; power dissipation; wireless bandwidth; Adaptive signal processing; Bandwidth; Biomedical signal processing; Circuits; Digital signal processing; Energy efficiency; Hardware; Power dissipation; Radio frequency; Resource management; Signal processing; Signal to noise ratio; Transponders; DSP; instrument amplifier; neural interface; spike sorting; telemetry; very large scale integration (VLSI); Action Potentials; Analog-Digital Conversion; Communication Aids for Disabled; Electrodes, Implanted; Electroencephalography; Equipment Design; Equipment Failure Analysis; Signal Processing, Computer-Assisted; Telemetry;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2009.2029704
