Title :
An integrated power, area and noise efficient AFE for large scale multichannel neural recording systems
Author :
Ashwath Krishnan, K. ; Farshchi, Shahin ; Judy, Jack
Author_Institution :
Electr. Eng. Dept., Univ. of California, Los Angeles, Los Angeles, CA, USA
Abstract :
A wideband, low-power, low-noise and area-efficient analog front-end (AFE) for acquiring neural signals is described. The AFE builds upon existing architectures but uses block-wise optimization to achieve superior performance when used in a multichannel system with scalable channel count. The AFE is also the first of its kind to enable acquisition from extended neural bandwidths greater than 10 kHz. The AFE is designed in 65 nm CMOS technology and consumes 11.3 μW of power while occupying 0.06 mm2 per channel and delivering an NEF of 2.92.
Keywords :
CMOS integrated circuits; biomedical electronics; brain; digital filters; medical signal processing; neurophysiology; optimisation; AFE; CMOS technology; area-efficient analog front-end; block-wise optimization; extended neural bandwidths; integrated power AFE; low-noise-efficient analog front-end; low-power analog front-end; multichannel system; neural signals; power 11.3 muW; scalable channel count; wideband analog front-end; Capacitors; Clocks; Computer architecture; Finite impulse response filters; Noise; Transistors;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
DOI :
10.1109/EMBC.2014.6944167
