A Neuromodulation System With Real-Time Neural Signals Recovery Overlapped Temporally and Spectrally With Stimulation Artifacts

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Authors: Geunchang Seong, Jaeouk Cho, Heeyoung Jung, Minjae Kim, Dongyeol Seok, Su Yeon Jeon, Seonae Jang, Changhoon Sung, Ul Gyu Han, Seongjun Park, Young Sang Cho, Chul Kim
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Abstract

Continuous neural signal acquisition during electrical stimulation is essential for neuromodulation; nevertheless, it is often hindered by high-amplitude stimulation artifacts (SAs). This study presents a neuromodulation system with an application-specific integrated circuit (ASIC) that implements 2.9× faster adaptation than a fixed parameter method for the real-time recovery of neural signals fully overlapped with stimulation artifacts in both time and frequency domains, without any prior calibration. The onchip SA removal module leverages an adaptive infinite impulse response (IIR)-based template-subtraction method with zero-multiplier operation and low computational complexity, enabling rapid template convergence and high accuracy under time-varying SAs while optimizing area and power efficiency. The stimulator incorporates a stimulation frequency dithering mechanism to minimize neural signal loss at the stimulation frequency and its harmonics during recovery.In vitroandin vivoexperimental validation, including local field potential (LFP) and action potential (AP) recordings, demonstrated real-time SA removal, achieving 40 dB reduction of SA component and preserving neural signal integrity. The ASIC, fabricated using the TSMC 65nm CMOS LP process, occupies a total die area of 1 mm2. The SA removal module including on-chip memory occupies 0.15 mm2and consumes 1.3μW. The presented system enables recovery of neural signals obscured by time-varying SAs in real time, without requiring prior calibration or external processing units.

Fields of Study & Subjects

Analog and Mixed-Signal Circuit Design Neuroscience and Neural Engineering Radio Frequency Integrated Circuit Design

Publication details

Journal / source
IEEE Transactions on Biomedical Circuits and Systems
Volume
20
Issue
3
Pages
446–457
Publication date
20 January 2026
Language
EN