A 16-QAM-Based Multi-Node BCC System with Bias-Electrode-Free Multi-Channel ExG Readout ICs

We present a system for multi-node body channel communication (BCC) integrated with multi-channel ExG readout ICs. By utilizing time-multiplexing for BCC communication and ExG measurement, the system minimizes interference between the BCC signal and the ExG readout IC, enabling the measurement of EEG, which requires ultra-low noise, along with EOG, EMG, and ECG signals. Moreover, eliminating the bias electrode increases BCC signal amplitude by 60%, allowing 16-QAM communication at 8Mbps even under time-multiplexing operation. To guarantee the robustness of communication, the system adaptively switches to OOK modulation in cases of significant body channel loss. Additionally, the system employs a multi-channel least-mean-square (LMS) filter and a DC servo loop (DSL) to effectively address channel mismatches and differential artifacts.

Authors

Institutions

Publication Details

Published
2025-06-08
DOI
https://doi.org/10.23919/vlsitechnologyandcir65189.2025.11075124
Primary Topic
Analog and Mixed-Signal Circuit Design
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A 16-QAM-Based Multi-Node BCC System with Bias-Electrode-Free Multi-Channel ExG Readout ICs

You‐Hee Cho, Minkyu Je, Sohmyung Ha, Dongyoon Lee et al.
Analog and Mixed-Signal Circuit Design
article

A 16-QAM-Based Multi-Node BCC System with Bias-Electrode-Free Multi-Channel ExG Readout ICs

You‐Hee Cho, Minkyu Je, Sohmyung Ha, Dongyoon Lee, Song-I Cheon, Dong-Hwi Choi, Christopher Santos, Seonghyun Park, Hyungjoo Cho
article en

Abstract

We present a system for multi-node body channel communication (BCC) integrated with multi-channel ExG readout ICs. By utilizing time-multiplexing for BCC communication and ExG measurement, the system minimizes interference between the BCC signal and the ExG readout IC, enabling the measurement of EEG, which requires ultra-low noise, along with EOG, EMG, and ECG signals. Moreover, eliminating the bias electrode increases BCC signal amplitude by 60%, allowing 16-QAM communication at 8Mbps even under time-multiplexing operation. To guarantee the robustness of communication, the system adaptively switches to OOK modulation in cases of significant body channel loss. Additionally, the system employs a multi-channel least-mean-square (LMS) filter and a DC servo loop (DSL) to effectively address channel mismatches and differential artifacts.

New York University Abu Dhabi (AE), Korea Advanced Institute of Science and Technology (KR)
Samsung
Affordable and clean energy
Openalex Percentile: Top 82%
Analog and Mixed-Signal Circuit Design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.