Title :
A Biomedical Sensor Interface With a sinc Filter and Interference Cancellation
Author :
Bohorquez, Jose L. ; Yip, Marcus ; Chandrakasan, Anantha P. ; Dawson, Joel L.
Author_Institution :
Microsyst. Technol. Labs., Massachusetts Inst. of Technol., Cambridge, MA, USA
fDate :
4/1/2011 12:00:00 AM
Abstract :
A compact, low-power, digitally-assisted sensor interface for biomedical applications is presented. It exploits oversampling and mixed-signal feedback to reduce system area and power, while making the system more robust to interferers. Antialiasing is achieved using a charge-sampling filter with a sinc frequency response and programmable gain. A mixed-signal feedback loop creates a sharp, programmable notch for interference cancellation. A prototype was implemented in a 0.18-μm CMOS process. The on-chip blocks operate from a 1.5-V supply and consume between 255 nW and 2.5 μW depending on noise and bandwidth requirements.
Keywords :
CMOS integrated circuits; biomedical electronics; feedback; interference suppression; notch filters; CMOS process; antialiasing; biomedical sensor interface; charge-sampling filter; interference cancellation; mixed-signal feedback; mixed-signal feedback loop; oversampling; power 255 nW to 2.5 muW; sinc filter; size 0.18 mum; voltage 1.5 V; Bandwidth; Gain; Interference cancellation; Noise; System-on-a-chip; Transfer functions; Antialiasing; biomedical; digitally-assisted; interference cancellation; low-noise instrumentation; medical implants; mixed-signal feedback; power line interference; sensors; sinc filter;
Journal_Title :
Solid-State Circuits, IEEE Journal of
DOI :
10.1109/JSSC.2011.2108128