Evidence map›Paper›PMID 35632029›Full record

ArticleSensors (Basel, Switzerland)2022

Improved Multichannel Electromyograph Using Off-the-Shelf Components for Education and Research.

Enrico M Staderini, Stefano Mugnaini, Harish Kambampati, Andrea Magrini, Sandro Gentili

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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
0.6field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  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 at 1 institution in 1 country.

Enrico M StaderiniHealthy World Association, 1400 Yverdon-les-Bains, Switzerland.ORCID 0000-0002-4770-3040
Stefano MugnainiOccupational Medicine Section, Department of Biomedicine and Prevention, "Tor Vergata" University of Rome, 00133 Roma, Italy.
Harish KambampatiDoctorate School in Industrial Engineering, "Tor Vergata" University of Rome, 00133 Roma, Italy.ORCID 0000-0003-2162-9548
Andrea MagriniOccupational Medicine Section, Department of Biomedicine and Prevention, "Tor Vergata" University of Rome, 00133 Roma, Italy.
Sandro GentiliOccupational Medicine Section, Department of Biomedicine and Prevention, "Tor Vergata" University of Rome, 00133 Roma, Italy.
University of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most students and researchers with limited funding are often looking for simple and low-cost devices for the acquisition of the electromyogram signal (EMG) in an educational or research setting. Thus, off-the-shelf devices are used and they have already been described in the literature, but they are used without considering their real performances, which are, in general, quite poor from the electronic and signal processing points of view. It is the purpose of this communication to present the evidence of these issues, and to describe an improved version of the "classical" duo, composed of the common ECG/EMG Olimex board and the Arduino microprocessor board. In this case, the Arduino-DUE is used. Three main points are highlighted in this paper: (a) the bandpass characteristics of the ECG/EMG Olimex board and how they can be improved to cope with EMG bandwidth requirements; (b) the increase in sampling frequency of the signal; and, finally, (c) the possibility of automatic detection of more ECG/EMG Olimex boards installed at the same time as the shields on the Arduino-DUE board. Very simple and low-cost modifications on the ECG/EMG Olimex board could deliver a much better performing multichannel EMG acquisition system, suitable for educational classroom experiments and early proof-of-concept research.

Indexed as

ElectrocardiographySignal Processing, Computer-AssistedElectromyographyHumansMicrocomputersArduinoelectromyographyEMGsignal acquisitionsignal conditioning

Identifiers

PMID35632029
PMCPMC9143621
OpenAlexW4280595206

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.