dynamic element matching (DEM)

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A 32-Channel 85.4 dB SNDR Time-Multiplexed Neural Recording Front-End Achieving Within-Conversion Artifact Recovery

A 32-Channel 85.4 dB SNDR Time-Multiplexed Neural Recording Front-End Achieving Within-Conversion Artifact Recovery 150 150
Author(s): Arindam Mandal, Chi-Hsiang Huang, Julian Arenas, Wei-En Lee, Kevin D. Patino-Sosa, Philip Anschutz, Amanda Jacob, Keshav Ramachandra, Samuel Sober, Muhannad S. Bakir, Shaolan Li, Visvesh S. Sathe

Abstract:

This article presents a 32-channel time-multiplexed highly digital neural recording front-end (RFE) that exhibits sub- $8.8~\mu $ s recovery latency from large stimulation artifacts while delivering high-resolution data at the Nyquist rate. The RFE is time-shared across 32 channels for low-frequency electrocorticography (ECoG) recording and across four channels for high-frequency action potentials (…

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1053 – 1067
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2025.3643367
Publisher: IEEE

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A Noise-Shaping SAR-Based ExG Sensing Frontend With Dynamic Input-Impedance Boosting and Prediction-Assisted Mismatch-Shaping DEM

A Noise-Shaping SAR-Based ExG Sensing Frontend With Dynamic Input-Impedance Boosting and Prediction-Assisted Mismatch-Shaping DEM 150 150
Author(s): Yiming Han, Linran Zhao, Yaoyao Jia

Abstract:

This article presents a noise-shaping successive approximation register (NS-SAR)-based direct-digitizing electrophysiological (ExG) sensing frontend (SFE) fabricated in a standard 180-nm CMOS process. To address the challenges of large motion artifacts and high electrode–tissue impedance (ETI), we propose three key innovations in our proposed SFE that enable accurate ExG …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 15
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3674986
Publisher: IEEE

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