Evidence map›Paper›PMID 36850728›Full record

ArticleSensors (Basel, Switzerland)2023

Signal Quality Analysis for Long-Term ECG Monitoring Using a Health Patch in Cardiac Patients.

Israel Campero Jurado, Ilde Lorato, John Morales, Lonneke Fruytier, Shavini Stuart, Pradeep Panditha, Daan M Janssen, Nicolò Rossetti, Natallia Uzunbajakava, Irina Bianca Serban and 4 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 28 citations in OpenAlex.

  1. Identifying Demographic Factors Affecting the ECG Duration Collected Using a Single-Lead ECG Patch Device.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2025
    Trial
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  4. Antifouling All-Polymeric Microneedle Array for Long-Term Wearable ECG Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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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

14 authors at 4 institutions in 1 country.

Israel Campero JuradoDepartment of Mathematics and Computer Science, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.ORCID 0000-0001-6934-6833
Ilde LoratoStichting IMEC Nederland, 5656 AE Eindhoven, The Netherlands.ORCID 0000-0002-1479-2446
John MoralesStichting IMEC Nederland, 5656 AE Eindhoven, The Netherlands.ORCID 0000-0003-0961-5581
Lonneke FruytierDepartment of Cardiology, Máxima Medical Center, De Run 4600, 5504 DB Veldhoven, The Netherlands.
Shavini StuartHolst Centre, TNO, Biomedical R&D, 5656 AE Eindhoven, The Netherlands.
Pradeep PandithaHolst Centre, TNO, Biomedical R&D, 5656 AE Eindhoven, The Netherlands.
Daan M JanssenDepartment of Cardiology, Máxima Medical Center, De Run 4600, 5504 DB Veldhoven, The Netherlands.
Nicolò RossettiStichting IMEC Nederland, 5656 AE Eindhoven, The Netherlands.
Natallia UzunbajakavaHolst Centre, TNO, Biomedical R&D, 5656 AE Eindhoven, The Netherlands.
Irina Bianca SerbanDepartment of Industrial Design, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.
Lars RikkenHolst Centre, TNO, Biomedical R&D, 5656 AE Eindhoven, The Netherlands.ORCID 0000-0002-9396-7469
Margreet de KokHolst Centre, TNO, Biomedical R&D, 5656 AE Eindhoven, The Netherlands.
Joaquin VanschorenDepartment of Mathematics and Computer Science, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.ORCID 0000-0001-7044-9805
Aarnout BrombacherDepartment of Industrial Design, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.
Holst Centre (Netherlands) · NLEindhoven University of Technology · NLImec the Netherlands · NLRadboud University Nijmegen · NL

Funding

ITEA INNO4HEALTH 19008 19008
6 · The paper itself

Abstract

Cardiovascular diseases (CVD) represent a serious health problem worldwide, of which atrial fibrillation (AF) is one of the most common conditions. Early and timely diagnosis of CVD is essential for successful treatment. When implemented in the healthcare system this can ease the existing socio-economic burden on health institutions and government. Therefore, developing technologies and tools to diagnose CVD in a timely way and detect AF is an important research topic. ECG monitoring patches allowing ambulatory patient monitoring over several days represent a novel technology, while we witness a significant proliferation of ECG monitoring patches on the market and in the research labs, their performance over a long period of time is not fully characterized. This paper analyzes the signal quality of ECG signals obtained using a single-lead ECG patch featuring self-adhesive dry electrode technology collected from six cardiac patients for 5 days. In particular, we provide insights into signal quality degradation over time, while changes in the average ECG quality per day were present, these changes were not statistically significant. It was observed that the quality was higher during the nights, confirming the link with motion artifacts. These results can improve CVD diagnosis and AF detection in real-world scenarios.

Indexed as

Atrial FibrillationArtifactsElectrocardiographyElectrodesHumansMonitoring, Ambulatorycontinuous monitoringdry electrodeselectrocardiographyhealth patchlifestylesignal quality

Identifiers

PMID36850728
PMCPMC9965306
OpenAlexW4320732146

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.