Evidence map›Paper›PMID 37299730›Full record

ArticleSensors (Basel, Switzerland)2023

Relationship between EMG and fNIRS during Dynamic Movements.

Natalia Daniel, Kamil Sybilski, Wojciech Kaczmarek, Dariusz Siemiaszko, Jerzy Małachowski

Open access · goldAbstract 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

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  9. Impact of rTMS and iTBS on Cerebral Hemodynamics and Swallowing in Unilateral Stroke: Insights from fNIRS.Medical science monitor : international medical journal of experimental and clinical research · 2025
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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

5 authors at 1 institution in 1 country.

Natalia DanielFaculty of Mechatronics, Armament and Aviation, Institute of Rocket Technology and Mechatronics, Military University of Technology, 2 gen. S. Kaliskiego Street, 00-908 Warsaw, Poland.ORCID 0000-0002-8289-4428
Kamil SybilskiFaculty of Mechanical Engineering, Institute of Mechanics & Computational Engineering, Military University of Technology, 2 gen. S. Kaliskiego Street, 00-908 Warsaw, Poland.ORCID 0000-0002-3362-216X
Wojciech KaczmarekFaculty of Mechatronics, Armament and Aviation, Institute of Rocket Technology and Mechatronics, Military University of Technology, 2 gen. S. Kaliskiego Street, 00-908 Warsaw, Poland.ORCID 0000-0003-3805-9510
Dariusz SiemiaszkoDepartment of Functional Materials and Hydrogen Technology, Military University of Technology, 2 gen. S. Kaliskiego Street, 00-908 Warsaw, Poland.ORCID 0000-0002-2887-7774
Jerzy MałachowskiFaculty of Mechanical Engineering, Institute of Mechanics & Computational Engineering, Military University of Technology, 2 gen. S. Kaliskiego Street, 00-908 Warsaw, Poland.ORCID 0000-0003-1300-8020
Military University of Technology in Warsaw · PL

Funding

Military University of Technology in Warsaw 22-840/2023
6 · The paper itself

Abstract

In the scientific literature focused on surface electromyography (sEMG) and functional near-infrared spectroscopy (fNIRS), which have been described together and separately many times, presenting different possible applications, researchers have explored a diverse range of topics related to these advanced physiological measurement techniques. However, the analysis of the two signals and their interrelationships continues to be a focus of study in both static and dynamic movements. The main purpose of this study was to determine the relationship between signals during dynamic movements. To carry out the analysis described, the authors of this research paper chose two sports exercise protocols: the Astrand-Rhyming Step Test and the Astrand Treadmill Test. In this study, oxygen consumption and muscle activity were recorded from the gastrocnemius muscle of the left leg of five female participants. This study found positive correlations between EMG and fNIRS signals in all participants: 0.343-0.788 (median-Pearson) and 0.192-0.832 (median-Spearman). On the treadmill, the signal correlations between the participants with the most active and least active lifestyle achieved the following medians: 0.788 (Pearson)/0.832 (Spearman) and 0.470 (Pearson)/0.406 (Spearman), respectively. The shapes of the changes in the EMG and fNIRS signals during exercise suggest a mutual relationship during dynamic movements. Furthermore, during the treadmill test, a higher correlation was observed between the EMG and NIRS signals in participants with a more active lifestyle. Due to the sample size, the results should be interpreted with caution.

Indexed as

MovementMuscle, SkeletalElectromyographyFemaleHumansLegSpectrum AnalysiscorrelationEMGfNIRSoxygen consumptionsignal changes

Identifiers

PMID37299730
PMCPMC10255104
OpenAlexW4378085500

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.