Evidence map›Paper›PMID 41394319›Full record

Article2024 International Conference on the Challenges, Opportunities, Innovations and Applications in Electronic Textiles2024

Evaluating Dry Electrodes and Bioinstrumentation for Wearable Arm ECG Acquisition.

Suparna Veeturi, Vignesh Ravichandran, Alex Cerullo, Shubham Chomal, Yalda Shahriari, Stephanie Carreiro, Krishna Venkatasubramanian, Kunal Mankodiya, Dhaval Solanki

Abstract read
In one paragraph

Article in 2024 International Conference on the Challenges, Opportunities, Innovations and Applications in Electronic Textiles, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. mEDA: Mobile DC-EDA Circuit Validation.... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks · 2025
    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

9 authors.

Suparna VeeturiDepartment of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, USA.
Vignesh RavichandranDepartment of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, USA.
Alex CerulloDepartment of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, USA.
Shubham ChomalDepartment of Emergency Medicine, University of Massachusetts Chan Medical School, USA.
Yalda ShahriariDepartment of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, USA.
Stephanie CarreiroDepartment of Mechanical, Industrial, and Systems Engineering, University of Rhode Island, Kingston, RI, USA.
Krishna VenkatasubramanianDepartment of Computer Science and Statistics, University of Rhode Island, USA.
Kunal MankodiyaDepartment of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, USA.
Dhaval SolankiDepartment of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, USA.

Funding

MINDER: Wearable sensor-based detection of digital biomarkers of adherence to medications for opioid use disorderR01EB033581 · NIBIB · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI STEPHANIE P CARREIRO · 2023 to 2026
$2.6M
NIBIB NIH HHS R01 EB033581
6 · The paper itself

Abstract

Arm-based electrocardiogram (ECG) offers a more comfortable and user-friendly alternative to traditional chest ECG for wearable cardiac monitoring in daily health applications. However, arm ECG faces challenges such as capturing extremely low-amplitude signals in the microvolt range and significant electromyogram (EMG) noise contamination. The aim of this study was to evaluate the performance of dry electrodes for arm and chest ECG monitoring using gold standard BIOPAC and proposed mDAQ systems. This study consisted of two phases. In Phase 1, we evaluated different dry electrode materials, including silver knit fabric and gold-plated electrodes, with six healthy adult participants (N = 3 males and N = 3 females) having upper arm circumference ranging from 27 to 42 cm. We used a BIOPAC system as a gold standard to collect arm ECG, upper arm EMG, and reference chest ECG during standardized movement tasks. Results showed that silver knit electrodes demonstrated superior QRS energy (0.705 ± 0.151), surpassing chest gel floating ECG QRS energy (0.328 ± 0.026), with lower EMG interference across movement conditions. In Phase 2, we developed a bioinstrumentation system (mDAQ) optimized for dry electrodes, demonstrating reliable ECG acquisition in both chest Lead I and arm configurations. We validated our bioinstrumentation with sixteen healthy adult participants (N = 8 male and N = female). The mDAQ system maintained high signal consistency with a skewness effect size of 0.963 and showed a mean heart rate bias of only -1.842 bpm compared to the BIOPAC system, confirming its viability for wearable ECG monitoring applications.

Indexed as

Adjustable armbandarm ECGBioinstrumentationBIOPACbiopotential electrodegold plated electrodesSilver knit electrodes

Identifiers

PMID41394319
PMCPMC12700326

What OpenQuestion holds

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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.