Evidence map›Paper›PMID 40328818›Full record

ArticleScientific reports2025

A performance evaluation of silver nanorods PDMS flexible dry electrodes for electrocardiogram monitoring.

C M Vidhya, Ghanshyam Kumar, Yogita Maithani, Bhanu Duggal, J P Singh

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

C M VidhyaDepartment of Physics, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India.
Ghanshyam KumarDepartment of Cardiology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, 249203, India.
Yogita MaithaniDepartment of Physics, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India.
Bhanu DuggalDepartment of Cardiology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, 249203, India.
J P SinghDepartment of Physics, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India. jpsingh@physics.iitd.ac.in.

Funding

Biotechnology Industry Research Assistance Council BT/AIR01217/PACE-FF
6 · The paper itself

Abstract

Extensive research is being conducted in fabricating flexible dry electrodes for electrocardiogram monitoring, but the electrodes' efficacy in clinical settings remains underexplored. In transition from research to commercial settings, investigating the electrode's performance in real-time monitoring and patient's comfort is very crucial. This study compares the ECG signal quality between flexible silver nanorods embedded in polydimethylsiloxane (AgNRs-PDMS) dry electrodes and commercially available metal electrodes. This study, conducted in a hospital, involves 50 subjects (40 males, 10 females; age range: 20-74) among which 41 were with cardiovascular disease and 9 normal subjects. The fabricated dry electrodes are biocompatible and have a lower skin-to-electrode impedance than the commercial electrodes, resulting in high-fidelity ECG signals. Signal quality was assessed based on parameters such as signal-to-noise ratio, mean amplitude, maximum amplitude, power spectral density, and heart rate comparison. The AgNRs-PDMS electrodes demonstrated superior SNR, confirmed using a paired t-test, with a p-value close to 0, indicating a significant difference in comparison with commercial electrodes. The amplitude of ECG signals captured by AgNRs-PDMS electrodes and the heart rate were observed to be comparable to metal electrodes. For automated arrhythmia classification of the ECG signals, two models were implemented. The first model utilized R-R interval for arrhythmic rhythm classification, while the second model used principal component analysis (PCA) for dimensionality reduction followed by support vector machine (SVM) to classify arrhythmic beats. Large arrhythmia data sets like the MIT-BIH arrhythmia database were used for training and validating the above models. Accuracy results from the MIT-BIH test data set were 97% for the R-R interval method and 93% for the SVM method. The heart beats obtained from an arrhythmic patient using commercial metal electrodes and AgNRs-PDMS electrodes were classified using the classifiers. The AgNRs-PDMS dry electrodes offer superior signal quality, ease of use due to gel-free nature, and reusability, making them a promising alternative to commercial electrodes for clinical ECG monitoring.

Indexed as

DimethylpolysiloxanesElectrocardiographyNanotubesSilverAdultAgedElectrodesFemaleHeart RateHumansMaleMiddle AgedSignal-To-Noise RatioYoung AdultbaysilonDimethylpolysiloxanesSilverArrhythmiasElectrocardiogramFlexible dry electrodesMachine learningSignal-to-noise ratioSupport vector machine

Identifiers

PMID40328818
PMCPMC12056089

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.