Robust Biopotential Acquisition via a Distributed Multi-Channel FM-ADC.

Clicks: 335
ID: 55962
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #4 of 10 articles by views in ieee transactions on biomedical circuits and systems

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
This contribution presents an active electrode system for biopotential acquisition using a distributed multi-channel FM-modulated analog front-end and ADC architecture. Each electrode captures one biopotential signal and converts to a frequency modulated signal using a VCO tuned to a unique frequency. Each electrode then buffers its output onto a shared analog line that aggregates all of the FM-modulated channels. This aggregation results in rugged, wearable form factor by eliminating wire clutter of traditional systems. A gateway integrated circuit then digitizes the composite FM signal and transmits for further processing. The coding gain due to bandwidth expansion of FM provides a large usable dynamic range (DR) and the single ADC for multiple channels results in significant power savings. Finally, the use of FM signals between the transducers and ADC provides resilience to motion and EMI artifacts. The system is implemented in 65 nm silicon using two distinct 1 mm square chip designs. Six-channel operation is demonstrated using FM channels with center frequencies around 15 MHz and the system achieves a usable DR of over 100 dB, while achieving figure of merit competitive with state of the art prior works using traditional approaches.
Reference Key
warchall2019robustieee Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Warchall, Julian;Theilmann, Paul;Ouyang, Yuxuan;Garudadri, Harinath;Mercier, Patrick;
Journal ieee transactions on biomedical circuits and systems
Year 2019
DOI
10.1109/TBCAS.2019.2941846
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.