Work

A Closed-Loop Neuromodulation Chipset with 0.0009\text{mm}^{2}-0.36 \mu \mathrm{W}/\text{Ch}$ Recording Frontend and ${0.075} \mathrm{m m}^{\mathrm{2}}-\mathrm{6.76}{\mu}\mathrm{W}$ Seizure Classification Backend

Year: 2025

Type: conference-paper

Abstract: This work presents a closed-loop neuromodulation chipset, integrating 64 analog frontends (AFEs) featuring a novel IDAC-embedded OTA, a lightweight feature extraction unit, a Sparse Projection Oblique Randomer Forest (SPORF) classifier, and 4 high-voltage (HV) compliant current stimulators. Each AFE occupies$0.0009 \text{mm}^{2}$and consumes$0.36 \mu \mathrm{W}$, the smallest area and lowest power reported to date for ECoG recording ($\text{BW} \leq 1 \text{kHz}$). Verified with CHB-MIT [1] and ETHZ [2] databases, the digital backend (DBE) occupies$0.075 \text{mm}^{2}$, consumes$6.76 \mu \mathrm{W}$and achieves event-based sensitivity and specificity of$94.93 \% / 98.58 \%$and$99.55 \% / 99.97 \%$, respectively, in patient-specific scenarios.

DOI: 10.23919/vlsitechnologyandcir65189.2025.11074961

Authors: Xiaohua Huang, Hoda Yassin, Beatriz Lafuente Alcazar, Arash Akhoundi, Dante G. Muratore

Institution: Delft University of Technology

Language: English

Topic: Analog and Mixed-Signal Circuit Design

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funder: European Commission

Award: G1244734279