Evidence map›Paper›PMID 38040739›Full record

ArticleScientific reports2023

Roll-to-roll fabrication of silver/silver chloride coated yarns for dry electrodes and applications in biosignal monitoring.

Katherine Le, Saeid Soltanian, Harishkumar Narayana, Amir Servati, Peyman Servati, Frank Ko

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Katherine LeMaterials Engineering Department, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada. lekather@student.ubc.ca.
Saeid SoltanianElectrical and Computer Engineering Department, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
Harishkumar NarayanaElectrical and Computer Engineering Department, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
Amir ServatiElectrical and Computer Engineering Department, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
Peyman ServatiElectrical and Computer Engineering Department, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada. peymans@ece.ubc.ca.
Frank KoMaterials Engineering Department, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada. frank.ko@ubc.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work presents a continuous roll-to-roll electrochemical coating system for producing silver/silver chloride (Ag/AgCl)-coated yarns, and their application in e-textile electrodes for biosignal monitoring. Ag/AgCl is one of the most preferred electrode materials as an interface between the conductive backbone of an electrode and skin. E-textile Ag/AgCl-coated multi-filament nylon yarns offer stable, flexible, and breathable alternatives to standard rigid or flexible film-based Ag/AgCl electrodes. The developed system allows for highly controlled process parameters to achieve stable and uniform AgCl film deposition on Ag-coated nylon yarns. The electrical, electrochemical properties, and morphology of the coated yarns were characterized. Dry electrodes were fabricated and could measure electrocardiogram (ECG) signals with comparable performance to standard gel electrodes. Ag/AgCl e-textile electrodes demonstrated high stability, with low average polarization potential (1.22 mV/min) compared with Ag-coated electrodes (3.79 mV/min), low impedance (below 2 MΩ, 0.1-150 Hz), and are excellent candidates for heart rate detection and monitoring.

Identifiers

PMID38040739
PMCPMC10692073

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.