Evidence map›Paper›PMID 36772579›Full record

ArticleSensors (Basel, Switzerland)2023

A Wireless Multi-Layered EMG/MMG/NIRS Sensor for Muscular Activity Evaluation.

Akira Kimoto, Hiromu Fujiyama, Masanao Machida

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Review
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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

3 authors.

Akira KimotoFaculty of Science and Engineering, Saga University, 1 Honjo, Saga 840-8502, Japan.ORCID 0000-0003-3918-2828
Hiromu FujiyamaFaculty of Science and Engineering, Saga University, 1 Honjo, Saga 840-8502, Japan.
Masanao MachidaFaculty of Science and Engineering, Saga University, 1 Honjo, Saga 840-8502, Japan.ORCID 0000-0001-6807-1700

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A wireless multi-layered sensor that allows electromyography (EMG), mechanomyography (MMG) and near-infrared spectroscopy (NIRS) measurements to be carried out simultaneously is presented. The multi-layered sensor comprises a thin silver electrode, transparent piezo-film and photosensor. EMG and MMG measurements are performed using the electrode and piezo-film, respectively. NIRS measurements are performed using the photosensor. Muscular activity is then analyzed in detail using the three types of data obtained. In experiments, the EMG, MMG and NIRS signals were measured for isometric ramp contraction at the forearm and cycling exercise of the lateral vastus muscle with stepped increments of the load using the layered sensor. The results showed that it was possible to perform simultaneous EMG, MMG and NIRS measurements at a local position using the proposed sensor. It is suggested that the proposed sensor has the potential to evaluate muscular activity during exercise, although the detection of the anaerobic threshold has not been clearly addressed.

Indexed as

Muscle, SkeletalSpectroscopy, Near-InfraredElectromyographyIsometric ContractionMuscle ContractionUpper Extremityelectromyographylayered sensormechanomyographynear-infrared spectroscopywireless

Identifiers

PMID36772579
PMCPMC9919115

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.