Relationship between EMG and fNIRS during Dynamic Movements

Author:

Daniel Natalia1ORCID,Sybilski Kamil2ORCID,Kaczmarek Wojciech1ORCID,Siemiaszko Dariusz3ORCID,Małachowski Jerzy2ORCID

Affiliation:

1. Faculty of Mechatronics, Armament and Aviation, Institute of Rocket Technology and Mechatronics, Military University of Technology, 2 gen. S. Kaliskiego Street, 00-908 Warsaw, Poland

2. Faculty of Mechanical Engineering, Institute of Mechanics & Computational Engineering, Military University of Technology, 2 gen. S. Kaliskiego Street, 00-908 Warsaw, Poland

3. Department of Functional Materials and Hydrogen Technology, Military University of Technology, 2 gen. S. Kaliskiego Street, 00-908 Warsaw, Poland

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.

Funder

Military University of Technology in Warsaw

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

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