Abstract
We present an incremental ΔΣ frontend that can resolve μ V-level neural signals superimposed with large (> 100m V) and fast (> 100mV/ms) interferences without quality degradation. Unlike conventional approaches that stretch conversion range to accept the large input by sacrificing resolution, the proposed work tracks the large transient with constant high-resolution but variable tracking speed adaptive to its input slope. Thus, this frontend acquires neural information without quality loss even when exposed to large and fast artifacts that overwhelm small neural signals. With the proposed high-resolution tracking scheme, this work achieves the highest SNDR (79.2dB) and FoMSNDR (165.7dB) among the state-of-the-art frontends using the conventional transient tracking techniques.
Original language | English |
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Title of host publication | 2024 IEEE Symposium on VLSI Technology and Circuits, VLSI Technology and Circuits 2024 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350361469 |
DOIs | |
Publication status | Published - 2024 |
Event | 2024 IEEE Symposium on VLSI Technology and Circuits, VLSI Technology and Circuits 2024 - Honolulu, United States Duration: 2024 Jun 16 → 2024 Jun 20 |
Publication series
Name | Digest of Technical Papers - Symposium on VLSI Technology |
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ISSN (Print) | 0743-1562 |
Conference
Conference | 2024 IEEE Symposium on VLSI Technology and Circuits, VLSI Technology and Circuits 2024 |
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Country/Territory | United States |
City | Honolulu |
Period | 24/6/16 → 24/6/20 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering