Toward Energy Efficient Neural Interfaces
Copyright policy )Toward Energy Efficient Neural Interfaces
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.
- University of Florida United States
Equipment Failure Analysis, Communication Devices for People with Disabilities, Action Potentials, Telemetry, Electroencephalography, Signal Processing, Computer-Assisted, Equipment Design, Analog-Digital Conversion, Electrodes, Implanted
Equipment Failure Analysis, Communication Devices for People with Disabilities, Action Potentials, Telemetry, Electroencephalography, Signal Processing, Computer-Assisted, Equipment Design, Analog-Digital Conversion, Electrodes, Implanted
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