Artifact-Tolerant Electrophysiological Sensor Interface With 3.6V/1.8V DM/CM Input Range and 52.3mV <sub>pp</sub> /${\mu}$s Recovery Using Asynchronous Signal Folding

In the practical implementations of wearable sensors, motion artifacts with large amplitudes often cause signal chain saturation, significantly degrading biopotential signal integrity. Similarly, rapid stimulation artifacts are inevitable during closed-loop brain stimulation therapy, posing additional challenges for real-time signal acquisition. To address motion and stimulation artifacts with amplitudes reaching hundreds of mV while minimizing information loss, a sensor interface with high input range and fast artifacts recovery capability is essential. This paper presents a continuous-time track-and-zoom (CT-TAZ) technique designed to handle large artifacts events without saturation. The proposed system achieves a 3.6V/1.8V differential-mode/common-mode full-scale input range. Fabricated in a 180nm CMOS process, the prototype chip occupies an area of 0.694mm<sup>2</sup> and consumes 12/32.6/51.6$\mu$W for recordings without/with single-end/with differential rail-to-rail artifacts. The system demonstrates an average artifacts recovery time of 65.3 $\mu$s under 3.6V stimulation artifacts, achieving an average artifacts recovery speed of 52.3mV<sub>pp</sub>/μs, which is 2.25× larger input range and 3× faster recovery compared to the state-of-the-art.

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Publication Details

Journal
IEEE Transactions on Biomedical Circuits and Systems
Published
2025-05-06
DOI
https://doi.org/10.1109/tbcas.2025.3567524
Primary Topic
Advanced Memory and Neural Computing
Type
article
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article

Artifact-Tolerant Electrophysiological Sensor Interface With 3.6V/1.8V DM/CM Input Range and 52.3mV pp /${\mu}$s Recovery Using Asynchronous Signal Folding

Yang Zhao, Yanxing Suo, Qiao Cai, Yong Lian et al.
IEEE Transactions on Biomedical Circuits and Systems
Advanced Memory and Neural Computing
article

Artifact-Tolerant Electrophysiological Sensor Interface With 3.6V/1.8V DM/CM Input Range and 52.3mV pp /${\mu}$s Recovery Using Asynchronous Signal Folding

Yang Zhao, Yanxing Suo, Qiao Cai, Yong Lian, Guoxing Wang, Xinzi Xu, Guanghua Qian, Yongfu Li
article en

Abstract

In the practical implementations of wearable sensors, motion artifacts with large amplitudes often cause signal chain saturation, significantly degrading biopotential signal integrity. Similarly, rapid stimulation artifacts are inevitable during closed-loop brain stimulation therapy, posing additional challenges for real-time signal acquisition. To address motion and stimulation artifacts with amplitudes reaching hundreds of mV while minimizing information loss, a sensor interface with high input range and fast artifacts recovery capability is essential. This paper presents a continuous-time track-and-zoom (CT-TAZ) technique designed to handle large artifacts events without saturation. The proposed system achieves a 3.6V/1.8V differential-mode/common-mode full-scale input range. Fabricated in a 180nm CMOS process, the prototype chip occupies an area of 0.694mm<sup>2</sup> and consumes 12/32.6/51.6$\mu$W for recordings without/with single-end/with differential rail-to-rail artifacts. The system demonstrates an average artifacts recovery time of 65.3 $\mu$s under 3.6V stimulation artifacts, achieving an average artifacts recovery speed of 52.3mV<sub>pp</sub>/μs, which is 2.25× larger input range and 3× faster recovery compared to the state-of-the-art.

IEEE Transactions on Biomedical Circuits and SystemsVol. 19(6)
Shanghai Jiao Tong University (CN)
Affordable and clean energy
Openalex Percentile: Top 92%
Advanced Memory and Neural Computing
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