A Low Power, Low Noise and Reconfigurable Readout Circuit for Physiological Biomarkers

Author(s):  
Angelito A. Silverio ◽  
Wen-Yaw Chung ◽  
Lean Angelo A. Silverio
Keyword(s):  
2006 ◽  
Vol 6 (3) ◽  
pp. 755-769 ◽  
Author(s):  
P.D. Dimitropoulos ◽  
D.P. Karampatzakis ◽  
G.D. Panagopoulos ◽  
G.I. Stamoulis

Author(s):  
A. Cerdeira-Estrada ◽  
A. De Luca ◽  
A. Cuttin ◽  
R. Mutihac

A new low power CMOS ASIC for the detection of X-rays was optimized for low power and low noise. Theoretical calculations and optimizations are presented and compared with experimental results. Noise as low as 120+25*Cin [pF] ENC rms was obtained including a silicon detector of 1.3 pF and 0.3nA of leakage. The power consumption is less than 100 W. Other circuit parameters are also shown.


2021 ◽  
Vol 11 (17) ◽  
pp. 7982
Author(s):  
Gyuri Choi ◽  
Hyunwoo Heo ◽  
Donggeun You ◽  
Hyungseup Kim ◽  
Kyeongsik Nam ◽  
...  

In this paper, a low-power and low-noise readout circuit for resistive-bridge microsensors is presented. The chopper-stabilized, recycling folded cascode current-feedback instrumentation amplifier (IA) is proposed to achieve the low-power, low-noise, and high-input impedance. The chopper-stabilized, recycling folded cascode topology (with a Monticelli-style, class-AB output stage) can enhance the overall noise characteristic, gain, and slew rate. The readout circuit consists of a chopper-stabilized, recycling folded cascode IA, low-pass filter (LPF), ADC driving buffer, and 12-bit successive-approximation-register (SAR) analog-to-digital converter (ADC). The prototype readout circuit is implemented in a standard 0.18 µm CMOS process, with an active area of 12.5 mm2. The measured input-referred noise at 1 Hz is 86.6 nV/√Hz and the noise efficiency factor (NEF) is 4.94, respectively. The total current consumption is 2.23 μA, with a 1.8 V power supply.


2009 ◽  
Vol E92-C (5) ◽  
pp. 708-712
Author(s):  
Dong-Heon HA ◽  
Chi Ho HWANG ◽  
Yong Soo LEE ◽  
Hee Chul LEE

2011 ◽  
Vol E94-C (10) ◽  
pp. 1698-1701
Author(s):  
Yang SUN ◽  
Chang-Jin JEONG ◽  
In-Young LEE ◽  
Sang-Gug LEE

2021 ◽  
Vol 324 ◽  
pp. 112681
Author(s):  
Jianhui Sun ◽  
Zibin Wang ◽  
Tongxi Wang ◽  
Guozhu Liu ◽  
Jiangwei Tian
Keyword(s):  

2021 ◽  
Author(s):  
Rafael Vieira ◽  
Nuno Horta ◽  
Nuno Lourenço ◽  
Ricardo Póvoa

Sign in / Sign up

Export Citation Format

Share Document