Evidence map›Paper›PMID 32802299›Full record

ArticleJournal of healthcare engineering2020

Wearable Active Electrode for sEMG Monitoring Using Two-Channel Brass Dry Electrodes with Reduced Electronics.

J Antonio Ruvalcaba, M I Gutiérrez, A Vera, L Leija

Abstract read
In one paragraph

Article in Journal of healthcare engineering, 2020. 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. 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

4 authors.

J Antonio RuvalcabaDepartment of Electrical Engineering, Bioelectronics Section, CINVESTAV-IPN, Zacatenco, Mexico City 07360, Mexico.
M I GutiérrezCONACYT, Instituto Nacional de Rehabilitación LGII, Subdirección de Investigación Biotecnológica, Mexico City 14389, Mexico.
A VeraDepartment of Electrical Engineering, Bioelectronics Section, CINVESTAV-IPN, Zacatenco, Mexico City 07360, Mexico.ORCID 0000-0001-6258-154X
L LeijaDepartment of Electrical Engineering, Bioelectronics Section, CINVESTAV-IPN, Zacatenco, Mexico City 07360, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gel-based electrodes are employed to record sEMG signals for prolonged periods. These signals are used for the control of myoelectric prostheses, clinical analysis, or sports medicine. However, when the gel dries, the electrode-skin impedance increases considerably. Using dry active electrodes (AEs) to compensate variations of impedance is an alternative for long-term recording. This work describes the optimization of the electronic design of a conventional AE by removing the impedance coupling stage and two filters. The proposed work consisted of 5 stages: electrodes, amplification (X250), 2.2 Vdc offset, low-pass filter, and ADC with USART communication. The device did not need the use of electrolytic gel. The measurements of CMRR (96 dB), amplitude of the output sEMG signal (∼1.6 Vp-p), and system bandwidth (15-450 Hz) were performed in order to confirm the reliability of the device as an sEMG signal acquisition system. The SNR values from seven movements performed by eleven volunteers were compared in order to measure the repeatability of the measurements (average 30.32 dB for a wrist flexion). The SNR for wrist flexion measured with the proposed and the commercial system was compared; the values were 49 dB and 60 dB, respectively.

Indexed as

CopperElectrodesWearable Electronic DevicesZincAdultCommunicationElectric ImpedanceElectroencephalographyElectromyographyElectronicsFemaleGelsHumansMaleMovementReproducibility of ResultsbrassCopperGelsZinc

Identifiers

PMID32802299
PMCPMC7416295

What OpenQuestion holds

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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.