A 0.09 &lt;formula formulatype="inline"&gt;&lt;tex Notation="TeX"&gt;$\mu$&lt;/tex&gt; &lt;/formula&gt;W Low Power Front-End Biopotential Amplifier for Biosignal Recording

Tseng, Yuhwai; Ho, Yen Teng; Kao, Shuo-Ting; Su, Chauchin

doi:10.1109/tbcas.2012.2188029

Cited by 53 publications

(4 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The biopotential AFE IC with DSL, RRL, and CIBL is presented. The performance comparisons to previous research are summarized in Table 1 [ 5 , 6 , 7 , 8 , 9 , 10 ]. To compare the noise and power performance to previous researches, the noise efficiency factor (NEF) is used [ 11 ], as expressed in Equation (6):

where V rms,in is the input-referred RMS noise, I total is the total supply current, U t is the thermal voltage kT/q , and BW is the band-width of amplifier.…”

Section: Discussionmentioning

confidence: 99%

Fully Integrated Biopotential Acquisition Analog Front-End IC

Song

Park

Kim

et al. 2015

Sensors

View full text Add to dashboard Cite

A biopotential acquisition analog front-end (AFE) integrated circuit (IC) is presented. The biopotential AFE includes a capacitively coupled chopper instrumentation amplifier (CCIA) to achieve low input referred noise (IRN) and to block unwanted DC potential signals. A DC servo loop (DSL) is designed to minimize the offset voltage in the chopper amplifier and low frequency respiration artifacts. An AC coupled ripple rejection loop (RRL) is employed to reduce ripple due to chopper stabilization. A capacitive impedance boosting loop (CIBL) is designed to enhance the input impedance and common mode rejection ratio (CMRR) without additional power consumption, even under an external electrode mismatch. The AFE IC consists of two-stage CCIA that include three compensation loops (DSL, RRL, and CIBL) at each CCIA stage. The biopotential AFE is fabricated using a 0.18 µm one polysilicon and six metal layers (1P6M) complementary metal oxide semiconductor (CMOS) process. The core chip size of the AFE without input/output (I/O) pads is 10.5 mm2. A fourth-order band-pass filter (BPF) with a pass-band in the band-width from 1 Hz to 100 Hz was integrated to attenuate unwanted signal and noise. The overall gain and band-width are reconfigurable by using programmable capacitors. The IRN is measured to be 0.94 µVRMS in the pass band. The maximum amplifying gain of the pass-band was measured as 71.9 dB. The CIBL enhances the CMRR from 57.9 dB to 67 dB at 60 Hz under electrode mismatch conditions.

show abstract

where V rms,in is the input-referred RMS noise, I total is the total supply current, U t is the thermal voltage kT/q , and BW is the band-width of amplifier.…”

Section: Discussionmentioning

confidence: 99%

Fully Integrated Biopotential Acquisition Analog Front-End IC

Song

Park

Kim

et al. 2015

Sensors

View full text Add to dashboard Cite

show abstract

“…Another widely used approach for reducing the flicker noise is the chopper stabilization technique [18,19,20,21]. 𝐶 𝐼 𝐵𝐿 (Impedance Boosting Loop Capacitor) is used to increase the input impedance of CCIA IEICE Electronics Express, Vol.VV, No.NN, 1-6 by using an additional capacitor as a positive feedback loop [22]. Similar to 𝐶 𝐼 𝐵𝐿 , a chopper technique provides an additional charge to precharge the input capacitor by an auxiliary switch buffer that was proposed in [23].…”

Section: Introductionmentioning

confidence: 99%

Design of a 1.8-µVrms IRN 180-dB CMRR configurable low-noise 6-channel analog front-end for neural recording systems on 180nm CMOS process

Pham

2023

IEICE Electron. Express

View full text Add to dashboard Cite

This paper presents a configurable analog front-end (AFE) for low-power neural recording systems that is capable of the current-to-voltage converter, programmable gain, ultra-high input impedance, low-noise, and wide bandwidth. A 6-channel AFE consisting of 6 1-channel AFEs is also introduced in this paper. The proposed AFE is designed on a 180nm CMOS process for low noise and operates over a wide frequency range of 0.5 Hz to 2.3 kHz with low input-referred noise of 1.8 µVrms and the maximal CMRR value of 180 dB. The power consumption is 8.5 µW per channel.

show abstract

“…Those signals are thus typically affected by the presence of 1/f flicker noise inherent to operation of CMOS circuits. To suppress its effects, current systems presented in literature typically employ either chopper-stabilised amplifiers [2], [3] up-modulating the input signal to higher frequencies or auto-zeroing techniques [4] exploiting autocorrelation properties of 1/f noise [5]. Those techniques however typically rely on periodic switching action requiring a fixed-frequency clock generator.…”

Section: Introductionmentioning

confidence: 99%

A Clockless Method of Flicker Noise Suppression in Continuous-Time Acquisition of Biosignals

Maslik

Lande

Constandinou

2018

2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)

View full text Add to dashboard Cite

This paper presents a novel chopping method allowing suppression of 1/f flicker noise in continuous-time acquisition systems without the need for a fixed-frequency clock, stochastically deriving the chopping signal from the input and hence achieving completely signal-dependent power consumption. The method is analysed, its basis of operation explained and a proofof-concept implementation presented alongside simulated results demonstrating an increase in achieved SNR of more than 8 dB during acquisition of ECG, EAP and EEG signals.

show abstract

A 0.09 <formula formulatype="inline"><tex Notation="TeX">$\mu$</tex> </formula>W Low Power Front-End Biopotential Amplifier for Biosignal Recording

Cited by 53 publications

References 32 publications

Fully Integrated Biopotential Acquisition Analog Front-End IC

Fully Integrated Biopotential Acquisition Analog Front-End IC

Design of a 1.8-µVrms IRN 180-dB CMRR configurable low-noise 6-channel analog front-end for neural recording systems on 180nm CMOS process

A Clockless Method of Flicker Noise Suppression in Continuous-Time Acquisition of Biosignals

Contact Info

Product

Resources

About