Evidence map›Paper›PMID 34450990›Full record

ArticleSensors (Basel, Switzerland)2021

Signal Quality Assessment of a Novel ECG Electrode for Motion Artifact Reduction.

Hesam Halvaei, Leif Sörnmo, Martin Stridh

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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. Article
  3. Review
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

3 authors.

Hesam HalvaeiDepartment of Biomedical Engineering, Lund University, SE-22100 Lund, Sweden.ORCID 0000-0001-6741-584X
Leif SörnmoDepartment of Biomedical Engineering, Lund University, SE-22100 Lund, Sweden.ORCID 0000-0001-8524-2292
Martin StridhDepartment of Biomedical Engineering, Lund University, SE-22100 Lund, Sweden.ORCID 0000-0002-1204-8912

Funding

H2020 Marie Skłodowska-Curie Actions 766082
6 · The paper itself

Abstract

backgroundThe presence of noise is problematic in the analysis and interpretation of the ECG, especially in ambulatory monitoring. Restricting the analysis to high-quality signal segments only comes with the risk of excluding significant arrhythmia episodes. Therefore, the development of novel electrode technology, robust to noise, continues to be warranted.

methodsThe signal quality of a novel wet ECG electrode (Piotrode) is assessed and compared to a commercially available, commonly used electrode (Ambu). The assessment involves indices of QRS detection and atrial fibrillation detection performance, as well as signal quality indices (ensemble standard deviation and time-frequency repeatability), computed from ECGs recorded simultaneously from 20 healthy subjects performing everyday activities.

resultsThe QRS detection performance using the Piotrode was considerably better than when using the Ambu, especially for running but also for lighter activities. The two signal quality indices demonstrated similar trends: the gap in quality became increasingly larger as the subjects became increasingly more active.

conclusionsThe novel wet ECG electrode produces signals with less motion artifacts, thereby offering the potential to reduce the review burden, and accordingly the cost, associated with ambulatory monitoring.

Indexed as

ArtifactsSignal Processing, Computer-AssistedAlgorithmsElectrocardiographyElectrodesHumansmotion artifactssignal quality assessmentwet ECG electrode

Identifiers

PMID34450990
PMCPMC8402297

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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.