TY - GEN
T1 - A low-power neuromorphic bandpass filter for biosignal processing
AU - Ma, Qingyun
AU - Li, Yang Guo
AU - Haider, Mohammad Rafiqul
AU - Massoud, Yehia
N1 - Generated from Scopus record by KAUST IRTS on 2022-09-13
PY - 2013/9/9
Y1 - 2013/9/9
N2 - Various types of biosignals originating from the human body are being extensively used for diagnostics as well as therapeutic interventions. Low-power biological signal processing necessitates energy-efficient filter blocks for time-frequency analysis. In an attempt to reduce the power consumption of an implantable biosignal processor, this paper presents a neuromorphic low-power bandpass filter with excellent figure-of-merit. The charging and discharging profiles of different ionic channels of a Si neuron are utilized to achieve the bandpass filter characteristics. The entire filter structure constitutes 5 transistors working in the weak-inversion saturation regions. Designed in a standard 0.13-μm CMOS process, the proposed bandpass filter consumes only 5 nW with a 0.5 V supply for a center frequency of 200 Hz. The center frequency can be tuned from 150 Hz to 1.5 KHz. The Monte Carlo simulation reveals 58 μVrms input-referred noise and 1% THD for 7 mVp-p of input signal. The proposed architecture also demonstrates excellent figure-of-merit. © 2013 IEEE.
AB - Various types of biosignals originating from the human body are being extensively used for diagnostics as well as therapeutic interventions. Low-power biological signal processing necessitates energy-efficient filter blocks for time-frequency analysis. In an attempt to reduce the power consumption of an implantable biosignal processor, this paper presents a neuromorphic low-power bandpass filter with excellent figure-of-merit. The charging and discharging profiles of different ionic channels of a Si neuron are utilized to achieve the bandpass filter characteristics. The entire filter structure constitutes 5 transistors working in the weak-inversion saturation regions. Designed in a standard 0.13-μm CMOS process, the proposed bandpass filter consumes only 5 nW with a 0.5 V supply for a center frequency of 200 Hz. The center frequency can be tuned from 150 Hz to 1.5 KHz. The Monte Carlo simulation reveals 58 μVrms input-referred noise and 1% THD for 7 mVp-p of input signal. The proposed architecture also demonstrates excellent figure-of-merit. © 2013 IEEE.
UR - http://ieeexplore.ieee.org/document/6572764/
UR - http://www.scopus.com/inward/record.url?scp=84883330554&partnerID=8YFLogxK
U2 - 10.1109/WAMICON.2013.6572764
DO - 10.1109/WAMICON.2013.6572764
M3 - Conference contribution
SN - 9781467355360
BT - 2013 IEEE 14th Annual Wireless and Microwave Technology Conference, WAMICON 2013
ER -