Title :
Overcoming power/information tradeoffs in neural signal acquisition
Author :
O´Driscoll, Stephen ; Meng, Teresa H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California, Davis, CA, USA
Abstract :
This paper describes the power cost of high-resolution ADC arrays for neural signal acquisition, discusses techniques to estimate optimal ADC resolutions based on spike sorting and presents an adaptive resolution ADC array for an implantable prosthetic processor. A 100kS/s SAR ADC whose resolution can be varied from 3 to 8-bits with corresponding power consumption of 0.23¿W to 0.90¿W has been implemented in 0.13¿m CMOS. Adaptation of ADC resolutions according to neural data content reduces power consumption by a factor of 2.3 whilst maintaining an effective 7.8-bit resolution.
Keywords :
CMOS integrated circuits; adaptive signal detection; analogue-digital conversion; neural nets; CMOS process; SAR ADC; adaptive high-resolution ADC array; information tradeoff; neural data content; neural signal acquisition; optimal ADC resolution estimation; power 0.23 muW; power 0.90 muW; power consumption; power cost; power tradeoff; size 0.13 mum; Adaptive arrays; Control systems; Electrodes; Energy consumption; Maximum likelihood decoding; Nervous system; Neural prosthesis; Neurons; Signal processing; Signal resolution;
Conference_Titel :
Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4244-5825-7
DOI :
10.1109/ACSSC.2009.5470178
