Evidence map›Paper›PMID 38434994›Full record

ArticleJournal of physical therapy science2024

Reliability and validity of muscle activity analysis using wearable electromyographs.

Tadamitsu Matsuda, Takayuki Miyamori, Yuji Fujino, Shojiro Nozu, Yuma Kajiwara

Open access · diamondAbstract read
In one paragraph

Article in Journal of physical therapy science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Handlebar Width Choices Must Be Considered for Female Cyclists.Journal of functional morphology and kinesiology · 2025
    Article
  3. 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 2 institutions in 1 country.

Tadamitsu MatsudaDepartment of Physical Therapy, Faculty of Health Science, Juntendo University: 3-2-12 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Takayuki MiyamoriDepartment of Physical Therapy, Faculty of Health Science, Juntendo University: 3-2-12 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Yuji FujinoDepartment of Physical Therapy, Faculty of Health Science, Juntendo University: 3-2-12 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Shojiro NozuFaculty of Health and Sports Science, Juntendo University, Japan.
Yuma KajiwaraNTT DATA INSTITUTE OF MANAGEMENT CONSULTING, Inc., Japan.
Juntendo University · JPUniversity of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] The aim of this study was to develop a novel wearable surface electromyograph called NOK, and compare its reliability and validity to an existing electromyograph. [Participants and Methods] The study participants were 23 healthy university students (Seven males and 16 females; age 20.3 ± 1.1 years [mean ± standard deviation]; height 162.0 ± 6.7 cm; weight 58.4 ± 10.1 kg) who all gave informed written consent. The newly developed electromyograph (NOK) features a rubberized skin contact surface that requires no electrodes and allows the acquisition of up to 10 channels of muscle waveforms on a portable personal computer. After measuring maximal isometric elbow extension and flexion, we examined muscle waveforms during isometric contractions of elbow joint flexion and extension at approximately 50% of maximal voluntary contraction using both NOK and Delsys electromyographs and compared the results of the two devices. [Results] We found a significant moderate correlation between the measurements by the two devices for biceps and triceps. The measurements by the two devices also showed strong measure-retest reliability. Systematic errors were observed for elbow flexion and extension in the two measurements, indicating limited agreement between the two measurement methods. [Conclusion] Although the new device also has high repeatability and reliability, it is unsuitable for analyzing detailed muscle activity. However, since it can measure up to 10 channels of muscle activity, it is expected to be used in the rehabilitation and sports field in the future.

Indexed as

Muscle activityValidityWearable electromyographs

Identifiers

PMID38434994
PMCPMC10904218
OpenAlexW4392311309

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.