Evidence map›Paper›PMID 34247646›Full record

ArticleBiomedical engineering online2021

Evaluation of dry textile electrodes for long-term electrocardiographic monitoring.

Milad Alizadeh-Meghrazi, Binbin Ying, Alessandra Schlums, Emily Lam, Ladan Eskandarian, Farhana Abbas, Gurjant Sidhu, Amin Mahnam, Bastien Moineau, Milos R Popovic

Abstract read
In one paragraph

Article in Biomedical engineering online, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Performance comparison of conductive textile electrodes in ECG monitoring.Frontiers in bioengineering and biotechnology · 2026
    Article
  2. Article
  3. Closed-Loop Recycling of Wearable Electronic Textiles.Small (Weinheim an der Bergstrasse, Germany) · 2024
    Article
  4. Article
  5. Motion artefact management for soft bioelectronics.Nature reviews bioengineering · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Mucosa-interfacing electronics.Nature reviews. Materials · 2022
    Review
  15. Exploring textile-based electrode materials for electromyography smart garments.Journal of rehabilitation and assistive technologies engineering
    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

10 authors.

Milad Alizadeh-MeghraziKITE Research Institute, Toronto Rehabilitation Institute - University Health Network (UHN), Toronto, ON, Canada. milad.alizadeh.m@utoronto.ca.ORCID http://orcid.org/0000-0002-1698-648X
Binbin YingDepartment of Mechanical Engineering, McGill University, Montreal, QC, Canada.
Alessandra SchlumsDepartment of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada.
Emily LamThe Institute for Biomedical Engineering, University of Toronto, Toronto, ON, Canada.
Ladan EskandarianDepartment of Materials Science and Engineering, University of Toronto, Toronto, ON, Canada.
Farhana AbbasDepartment of Chemistry, University of Toronto, Toronto, ON, Canada.
Gurjant SidhuDepartment of Nanotechnology Engineering, University of Waterloo, Waterloo, ON, Canada.
Amin MahnamMyant Inc., Toronto, ON, Canada.
Bastien MoineauMyant Inc., Toronto, ON, Canada.
Milos R PopovicKITE Research Institute, Toronto Rehabilitation Institute - University Health Network (UHN), Toronto, ON, Canada.

Funding

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada CGS D3 - 518693 - 2018Mitacs IT13046
6 · The paper itself

Abstract

backgroundContinuous long-term electrocardiography monitoring has been increasingly recognized for early diagnosis and management of different types of cardiovascular diseases. To find an alternative to Ag/AgCl gel electrodes that are improper for this application scenario, many efforts have been undertaken to develop novel flexible dry textile electrodes integrated into the everyday garments. With significant progresses made to address the potential issues (e.g., low signal-to-noise ratio, high skin-electrode impedance, motion artifact, and low durability), the lack of standard evaluation procedure hinders the further development of dry electrodes (mainly the design and optimization).

resultsA standard testing procedure and framework for skin-electrode impedance measurement is demonstrated for the development of novel dry textile electrodes. Different representative electrode materials have been screen-printed on textile substrates. To verify the performance of dry textile electrodes, impedance measurements are conducted on an agar skin model using a universal setup with consistent frequency and pressure. In addition, they are demonstrated for ECG signals acquisition, in comparison to those obtained using conventional gel electrodes.

conclusionsDry textile electrodes demonstrated similar impedance when in raised or flat structures. The tested pressure variations had an insignificant impact on electrode impedance. Looking at the effect of impedance on ECG signals, a noticeable effect on ECG signal performance metrics was not observed. Therefore, it is suggested that impedance alone is possibly not the primary indicator of signal quality. As well, the developed methods can also serve as useful guidelines for future textile dry-electrode design and testing for practical ECG monitoring applications.

Indexed as

ElectrocardiographyTextilesArtifactsElectric ImpedanceElectrodesCarbon-contained yarnDry textile electrodesElectrocardiography (ECG)Electrophysiological monitoringLong-term biosignal monitoringPrinted electronicsRemote healthcareSilver-plated yarnTextile computing

Identifiers

PMID34247646
PMCPMC8274056

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.