Efficient Metastability Mitigation and Sub-Band Filtering in VCO-Based EEG Recording

This brief proposes an efficient structure for electroencephalogram (EEG) signal recording. A single-sample strategy is proposed to mitigate metastability issues in Voltage-Controlled Oscillator (VCO) Analog Front Ends (AFEs), offering timing margins of 14 phase cycles and simplifying the result arbitration logic to 1-bit multiplexing. Additionally, an analysis of existing EEG sub-band filter designs is presented, followed by an efficient band multiplexing serial multiplier structure that capitalizes on timing slacks. This design features a reduction in both the number of multipliers and the complexity of the multiplexing network. The proposed design was implemented using 40nm CMOS technology. The VCO-AFE demonstrates stable, error-free recordings with an input-referred noise (IRN) of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$0.66\boldsymbol {\mu }$ </tex-math></inline-formula>V<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\boldsymbol {_{rms}}$ </tex-math></inline-formula> within 0.5–60Hz, according to the measurement results. The proposed sub-band filter exhibits substantial savings of 11% and 51% in area and power, respectively, compared to prior work when scaled to the same technology node.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Circuits & Systems II Express Briefs
Published
2024-08-20
DOI
https://doi.org/10.1109/tcsii.2024.3446187
Primary Topic
Blind Source Separation Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Efficient Metastability Mitigation and Sub-Band Filtering in VCO-Based EEG Recording

Tongfei Wang, Zijian Tang, Yuan Ma, Chao Zhang et al.
IEEE Transactions on Circuits & Systems II Express Briefs
Blind Source Separation Techniques
article

Efficient Metastability Mitigation and Sub-Band Filtering in VCO-Based EEG Recording

Tongfei Wang, Zijian Tang, Yuan Ma, Chao Zhang, Milin Zhang, Minqian Zheng, Zhixiong Ma, Chao Sun
article en

Abstract

This brief proposes an efficient structure for electroencephalogram (EEG) signal recording. A single-sample strategy is proposed to mitigate metastability issues in Voltage-Controlled Oscillator (VCO) Analog Front Ends (AFEs), offering timing margins of 14 phase cycles and simplifying the result arbitration logic to 1-bit multiplexing. Additionally, an analysis of existing EEG sub-band filter designs is presented, followed by an efficient band multiplexing serial multiplier structure that capitalizes on timing slacks. This design features a reduction in both the number of multipliers and the complexity of the multiplexing network. The proposed design was implemented using 40nm CMOS technology. The VCO-AFE demonstrates stable, error-free recordings with an input-referred noise (IRN) of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$0.66\boldsymbol {\mu }$ </tex-math></inline-formula>V<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\boldsymbol {_{rms}}$ </tex-math></inline-formula> within 0.5–60Hz, according to the measurement results. The proposed sub-band filter exhibits substantial savings of 11% and 51% in area and power, respectively, compared to prior work when scaled to the same technology node.

IEEE Transactions on Circuits & Systems II Express BriefsVol. 71(12)
Chinese Institute for Brain Research (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Beijing Municipal Natural Science Foundation
Climate action
Openalex Percentile: Top 85%
Blind Source Separation Techniques
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.