Evidence map›Paper›PMID 38032699›Full record

ArticleJMIR formative research2023

The Utility of a Novel Electrocardiogram Patch Using Dry Electrodes Technology for Arrhythmia Detection During Exercise and Prolonged Monitoring: Proof-of-Concept Study.

Lonneke A Fruytier, Daan M Janssen, Israel Campero Jurado, Danny Ajp van de Sande, Ilde Lorato, Shavini Stuart, Pradeep Panditha, Margreet de Kok, Hareld Mc Kemps

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 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
0.9field-weighted citation impact, top 22% of its field
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, 4 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Lonneke A FruytierDepartment of Cardiology, Máxima MC Eindhoven/Veldhoven, Veldhoven, Netherlands.ORCID https://orcid.org/0000-0001-7339-6462
Daan M JanssenDepartment of Cardiology, Máxima MC Eindhoven/Veldhoven, Veldhoven, Netherlands.ORCID https://orcid.org/0000-0002-4607-211X
Israel Campero JuradoDepartment of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, Netherlands.ORCID https://orcid.org/0000-0001-6934-6833
Danny Ajp van de SandeDepartment of Cardiology, Máxima MC Eindhoven/Veldhoven, Veldhoven, Netherlands.ORCID https://orcid.org/0000-0002-8553-5025
Ilde LoratoStichting imec Nederland, Eindhoven, Netherlands.ORCID https://orcid.org/0000-0002-1479-2446
Shavini StuartTNO Holst Centre, Eindhoven, Netherlands.ORCID https://orcid.org/0000-0001-7916-9914
Pradeep PandithaTNO Holst Centre, Eindhoven, Netherlands.ORCID https://orcid.org/0009-0001-9863-7805
Margreet de KokTNO Holst Centre, Eindhoven, Netherlands.ORCID https://orcid.org/0000-0001-8517-6280
Hareld Mc KempsDepartment of Cardiology, Máxima MC Eindhoven/Veldhoven, Veldhoven, Netherlands.ORCID https://orcid.org/0000-0003-0272-4355
Radboud University Nijmegen · NLHolst Centre (Netherlands) · NLEindhoven University of Technology · NLImec the Netherlands · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate detection of myocardial ischemia and arrhythmias during free-living exercise could play a pivotal role in screening and monitoring for the prevention of exercise-related cardiovascular events in high-risk populations. Although remote electrocardiogram (ECG) solutions are emerging rapidly, existing technology is neither designed nor validated for continuous use during vigorous exercise.

objectiveIn this proof-of-concept study, we evaluated the usability, signal quality, and accuracy for arrhythmia detection of a single-lead ECG patch platform featuring self-adhesive dry electrode technology in individuals with chronic coronary syndrome. This sensor was evaluated during exercise and for prolonged, continuous monitoring.

methodsWe recruited a total of 6 consecutive patients with chronic coronary syndrome scheduled for an exercise stress test (EST) as part of routine cardiac follow-up. Traditional 12-lead ECG recording was combined with monitoring with the ECG patch. Following the EST, the participants continuously wore the sensor for 5 days. Intraclass correlation coefficients (ICC) and Wilcoxon signed rank tests were used to assess the utility of detecting arrhythmias with the patch by comparing the evaluations of 2 blinded assessors. Signal quality during EST and prolonged monitoring was evaluated by using a signal quality indicator. Additionally, connection time was calculated for prolonged ECG monitoring. The comfort and usability of the patch were evaluated by a web-based self-assessment questionnaire.

resultsA total of 6 male patients with chronic coronary syndrome (mean age 69.8, SD 6.2 years) completed the study protocol. The patch was worn for a mean of 118.3 (SD 5.6) hours. The level of agreement between the patch and 12-lead ECG was excellent for the detection of premature atrial contractions and premature ventricular contractions during the whole test (ICC=0.998, ICC=1.000). No significant differences in the total number of premature atrial contractions and premature ventricular contractions were detected neither during the entire exercise test (P=.79 and P=.18, respectively) nor during the exercise and recovery stages separately (P=.41, P=.66, P=.18, and P=.66). A total of 1 episode of atrial fibrillation was detected by both methods. Total connection time during recording was between 88% and 100% for all participants. There were no reports of skin irritation, erythema, or pain while wearing the patch.

conclusionsThis proof-of-concept study showed that this innovative ECG patch based on self-adhesive dry electrode technology can potentially be used for arrhythmia detection during vigorous exercise. The results suggest that the wearable patch is also usable for prolonged continuous ECG monitoring in free-living conditions and can therefore be of potential use in cardiac rehabilitation and tele-monitoring for the prevention of exercise-related cardiovascular events. Future efforts will focus on optimizing signal quality over time and conducting a larger-scale validation study focusing on both arrhythmia and ischemia detection.

Indexed as

arrhythmia detectioncoronary artery diseaseECG monitoringelectrocardiogramexercisepatchusability

Identifiers

PMID38032699
PMCPMC10722364
OpenAlexW4389180836

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.