Evidence map›Paper›PMID 38400278›Full record

ArticleSensors (Basel, Switzerland)2024

A Circular, Wireless Surface-Electromyography Array.

Kenneth Deprez, Eliah De Baecke, Mauranne Tijskens, Ruben Schoeters, Maarten Velghe, Arno Thielens

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 30% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 3 countries.

Kenneth DeprezDepartment of Information Technology, imec, Ghent University, 9052 Ghent, Belgium.ORCID 0000-0002-1954-6738
Eliah De BaeckeDepartment of Information Technology, imec, Ghent University, 9052 Ghent, Belgium.
Mauranne TijskensDepartment of Information Technology, imec, Ghent University, 9052 Ghent, Belgium.
Ruben SchoetersDepartment of Information Technology, imec, Ghent University, 9052 Ghent, Belgium.ORCID 0000-0002-8246-6888
Maarten VelgheDepartment of Information Technology, imec, Ghent University, 9052 Ghent, Belgium.
Arno ThielensDepartment of Information Technology, imec, Ghent University, 9052 Ghent, Belgium.ORCID 0000-0002-8089-6382
Ghent University · BEThe Graduate Center, CUNY · US

Funding

Research Foundation - Flanders 1283921N
6 · The paper itself

Abstract

Commercial, high-tech upper limb prostheses offer a lot of functionality and are equipped with high-grade control mechanisms. However, they are relatively expensive and are not accessible to the majority of amputees. Therefore, more affordable, accessible, open-source, and 3D-printable alternatives are being developed. A commonly proposed approach to control these prostheses is to use bio-potentials generated by skeletal muscles, which can be measured using surface electromyography (sEMG). However, this control mechanism either lacks accuracy when a single sEMG sensor is used or involves the use of wires to connect to an array of multiple nodes, which hinders patients' movements. In order to mitigate these issues, we have developed a circular, wireless s-EMG array that is able to collect sEMG potentials on an array of electrodes that can be spread (not) uniformly around the circumference of a patient's arm. The modular sEMG system is combined with a Bluetooth Low Energy System on Chip, motion sensors, and a battery. We have benchmarked this system with a commercial, wired, state-of-the-art alternative and found an r = 0.98 (

Indexed as

AmputeesArtificial LimbsElectromyographyGesturesHandHumansMuscle, SkeletalQuality of LifeBluetooth Low Energygesture recognitionProstheticsSurface-Electromyography

Identifiers

PMID38400278
PMCPMC10892791
OpenAlexW4391692117

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.