Evidence map›Paper›PMID 32752062›Full record

ArticleSensors (Basel, Switzerland)2020

Development of Soft sEMG Sensing Structures Using 3D-Printing Technologies.

Gerjan Wolterink, Pedro Dias, Remco G P Sanders, Frodo Muijzer, Bert-Jan van Beijnum, Peter Veltink, Gijs Krijnen

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Recent advances of additively manufactured noninvasive kinematic biosensors.Frontiers in bioengineering and biotechnology · 2023
    Review
  3. Article
  4. Article
  5. Article
  6. 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

7 authors at 2 institutions in 1 country.

Gerjan WolterinkRobotics And Mechatronics group (RAM), University of Twente, 7500 AE Enschede, The Netherlands.ORCID 0000-0002-5095-5345
Pedro DiasRobotics And Mechatronics group (RAM), University of Twente, 7500 AE Enschede, The Netherlands.
Remco G P SandersRobotics And Mechatronics group (RAM), University of Twente, 7500 AE Enschede, The Netherlands.
Frodo MuijzerTwente Medical Systems International B.V. (TMSi), 7575 EJ Oldenzaal, The Netherlands.
Bert-Jan van BeijnumBiomedical Signals and Systems (BSS), University of Twente, 7500 AE Enschede, The Netherlands.
Peter VeltinkBiomedical Signals and Systems (BSS), University of Twente, 7500 AE Enschede, The Netherlands.
Gijs KrijnenRobotics And Mechatronics group (RAM), University of Twente, 7500 AE Enschede, The Netherlands.ORCID 0000-0001-9537-7123
University of Twente · NLTwente Medical Systems International (Netherlands) · NL

Funding

Horizon 2020 68885
6 · The paper itself

Abstract

3D printing of soft EMG sensing structures enables the creation of personalized sensing structures that can be potentially integrated in prosthetic, assistive and other devices. We developed and characterized flexible carbon-black doped TPU-based sEMG sensing structures. The structures are directly 3D-printed without the need for an additional post-processing step using a low-cost, consumer grade multi-material FDM printer. A comparison between the gold standard Ag/AgCl gel electrodes and the 3D-printed EMG electrodes with a comparable contact area shows that there is no significant difference in the EMG signals' amplitude. The sensors are capable of distinguishing a variable level of muscle activity of the biceps brachii. Furthermore, as a proof of principle, sEMG data of a 3D-printed 8-electrode band are analyzed using a patten recognition algorithm to recognize hand gestures. This work shows that 3D-printed sEMG electrodes have great potential in practical applications.

Indexed as

Printing, Three-DimensionalElectrodes3D-printingconductiveelectrodesEMGflexiblesoftthermoplactic polyurethane (TPU)

Identifiers

PMID32752062
PMCPMC7435423
OpenAlexW3046480955

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.