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Relationship between EMG and fNIRS during Dynamic Movements

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 ad...

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Autores principales: Daniel, Natalia, Sybilski, Kamil, Kaczmarek, Wojciech, Siemiaszko, Dariusz, Małachowski, Jerzy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255104/
https://www.ncbi.nlm.nih.gov/pubmed/37299730
http://dx.doi.org/10.3390/s23115004
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author Daniel, Natalia
Sybilski, Kamil
Kaczmarek, Wojciech
Siemiaszko, Dariusz
Małachowski, Jerzy
author_facet Daniel, Natalia
Sybilski, Kamil
Kaczmarek, Wojciech
Siemiaszko, Dariusz
Małachowski, Jerzy
author_sort Daniel, Natalia
collection PubMed
description 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.
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spelling pubmed-102551042023-06-10 Relationship between EMG and fNIRS during Dynamic Movements Daniel, Natalia Sybilski, Kamil Kaczmarek, Wojciech Siemiaszko, Dariusz Małachowski, Jerzy Sensors (Basel) Article 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. MDPI 2023-05-23 /pmc/articles/PMC10255104/ /pubmed/37299730 http://dx.doi.org/10.3390/s23115004 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Daniel, Natalia
Sybilski, Kamil
Kaczmarek, Wojciech
Siemiaszko, Dariusz
Małachowski, Jerzy
Relationship between EMG and fNIRS during Dynamic Movements
title Relationship between EMG and fNIRS during Dynamic Movements
title_full Relationship between EMG and fNIRS during Dynamic Movements
title_fullStr Relationship between EMG and fNIRS during Dynamic Movements
title_full_unstemmed Relationship between EMG and fNIRS during Dynamic Movements
title_short Relationship between EMG and fNIRS during Dynamic Movements
title_sort relationship between emg and fnirs during dynamic movements
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255104/
https://www.ncbi.nlm.nih.gov/pubmed/37299730
http://dx.doi.org/10.3390/s23115004
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