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ISSCC 2026Session 36 · NEURAL AND BIOMEDICAL INTERFACESAI / ML

A 43.8-to-662.0μW 27.5-to-878.9fps Frame-Rate-Scalable Duty-Cycled Electrical Impedance Tomography System with MIMO Current-Balancing IA

⚡ 本页包含 AI 生成的分析内容,仅供参考

📋 论文概要

本文提出了一种帧率可调的占空比电气阻抗断层扫描系统,通过多输入多输出电流平衡仪表放大器降低功耗、面积和输入寄生,并采用数字匹配滤波器与谐波消除FIR滤波器减少建立时间,从而在662.0μW下实现878.9fps,在43.8μW下实现27.5fps。

💡 主要创新点

核心指标
878.9fps @ 662.0μW, 27.5fps @ 43.8μW
重要性
发表年份
ISSCC 2026

🏷 关键词

电气阻抗断层扫描帧率可调占空比多输入多输出电流平衡仪表放大器

📄 原文摘要

*Equally Credited Authors (ECAs) 1 Abstract This paper presents a frame-rate-scalable duty-cycled electrical impedance tomography system to reduce average power consumption. A proposed multiple-input multiple-output current-balancing IA halves power consumption, area, and input parasitics. Digital matched filters with harmonic-canceling FIR filters significantly reduce settling time, improving system throughput. The system achieves 878.9fps at 662.0μW and 27.5fps at 43.8μW. Electrical impedance tomography (EIT) systems have been explored beyond their traditional imaging applications, such as lung ventilation monitoring [1–4], extending into humancomputer interface, including gesture recognition [5,6]. Despite its high potential, adapting the EIT system into portable and real-time interactive platforms remains challenging, primarily due to two critical bottlenecks: high power consumption and low frame rates (Fig.

👥 作者与机构

Haidam Choi*1, Gichan Yun*1, Ji-Hoon Suh2, Seonwoo Park1, Donghyeon Yi1, Sohmyung Ha3, Minkyu Je1

KAIST, Daejeon, Korea, 2University of California, San Diego, CA, 3New York University Abu Dhabi, Abu Dhabi, United Arab Emirates

分类:AI / ML · 年份:ISSCC 2026