Neural stimulation is used routinely to diagnose and treat neurological disorders. The stimulation artifacts are, however, problematic for closed-loop neuromodulation therapy, which dynamically adjusts the electrical stimulation parameters based on real-time feedback from the recorded neural activity because they can cause saturation or prolonged recovery times in traditional recording front ends. This article presents a per-pixel second-orderΔ Σanalog-to-digital converter (ADC) for direct digitization of neural signals, which addresses the stimulation artifact recovery time in voltage-controlled oscillator (VCO)-based quantizers with a fast-recovery, overrange-detecting phase quantizer. The ADC uses a pseudo-virtual ground feedforwarding (PVG FF) technique and a complementary inputG ₘ-C filter with per-pixel decimation. It supports four recording modes covering 2.5–20 kS/s through a power-efficient, bandwidth-scalable continuous timeΔ Σmodulator. Fabricated in a 180-nm CMOS process, this300× 300~μm2 ADC achieves> 250×faster (0.05–0.4 ms) stimulation artifact recovery time, enabling in-stimulation recording. Recording with artifact tolerance was demonstrated through an in vivo whisker barrel rat experiment.
No takes yet. Share an insight, caveat, or question.
Jain et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: