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PPG2EMG: Estimating Upper-Arm Muscle Activities and EMG from Wrist PPG Values

The electromyogram (EMG) is a waveform representation of the action potential generated by muscle cells using electrodes. EMG acquired using surface electrodes is called surface EMG (sEMG), and it is the acquisition of muscle action potentials transmitted by volume conduction from the skin. Surface...

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Autores principales: Okamoto, Masahiro, Murao, Kazuya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962560/
https://www.ncbi.nlm.nih.gov/pubmed/36850382
http://dx.doi.org/10.3390/s23041782
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author Okamoto, Masahiro
Murao, Kazuya
author_facet Okamoto, Masahiro
Murao, Kazuya
author_sort Okamoto, Masahiro
collection PubMed
description The electromyogram (EMG) is a waveform representation of the action potential generated by muscle cells using electrodes. EMG acquired using surface electrodes is called surface EMG (sEMG), and it is the acquisition of muscle action potentials transmitted by volume conduction from the skin. Surface electrodes require disposable conductive gel or adhesive tape to be attached to the skin, which is costly to run, and the tape is hard on the skin when it is removed. Muscle activity can be evaluated by acquiring muscle potentials and analyzing quantitative, temporal, and frequency factors. It is also possible to evaluate muscle fatigue because the frequency of the EMG becomes lower as the muscle becomes fatigued. Research on human activity recognition from EMG signals has been actively conducted and applied to systems that support arm and hand functions. This paper proposes a method for recognizing the muscle activity state of the arm using pulse wave data (PPG: Photoplethysmography) and a method for estimating EMG using pulse wave data. This paper assumes that the PPG sensor is worn on the user’s wrist to measure the heart rate. The user also attaches an elastic band to the upper arm, and when the user exerts a force on the arm, the muscles of the upper arm contract. The arteries are then constricted, and the pulse wave measured at the wrist becomes weak. From the change in the pulse wave, the muscle activity of the arm can be recognized and the number of action potentials of the muscle can be estimated. From the evaluation experiment with five subjects, three types of muscle activity were recognized with 80+%, and EMG was estimated with approximately 20% error rate.
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spelling pubmed-99625602023-02-26 PPG2EMG: Estimating Upper-Arm Muscle Activities and EMG from Wrist PPG Values Okamoto, Masahiro Murao, Kazuya Sensors (Basel) Article The electromyogram (EMG) is a waveform representation of the action potential generated by muscle cells using electrodes. EMG acquired using surface electrodes is called surface EMG (sEMG), and it is the acquisition of muscle action potentials transmitted by volume conduction from the skin. Surface electrodes require disposable conductive gel or adhesive tape to be attached to the skin, which is costly to run, and the tape is hard on the skin when it is removed. Muscle activity can be evaluated by acquiring muscle potentials and analyzing quantitative, temporal, and frequency factors. It is also possible to evaluate muscle fatigue because the frequency of the EMG becomes lower as the muscle becomes fatigued. Research on human activity recognition from EMG signals has been actively conducted and applied to systems that support arm and hand functions. This paper proposes a method for recognizing the muscle activity state of the arm using pulse wave data (PPG: Photoplethysmography) and a method for estimating EMG using pulse wave data. This paper assumes that the PPG sensor is worn on the user’s wrist to measure the heart rate. The user also attaches an elastic band to the upper arm, and when the user exerts a force on the arm, the muscles of the upper arm contract. The arteries are then constricted, and the pulse wave measured at the wrist becomes weak. From the change in the pulse wave, the muscle activity of the arm can be recognized and the number of action potentials of the muscle can be estimated. From the evaluation experiment with five subjects, three types of muscle activity were recognized with 80+%, and EMG was estimated with approximately 20% error rate. MDPI 2023-02-05 /pmc/articles/PMC9962560/ /pubmed/36850382 http://dx.doi.org/10.3390/s23041782 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
Okamoto, Masahiro
Murao, Kazuya
PPG2EMG: Estimating Upper-Arm Muscle Activities and EMG from Wrist PPG Values
title PPG2EMG: Estimating Upper-Arm Muscle Activities and EMG from Wrist PPG Values
title_full PPG2EMG: Estimating Upper-Arm Muscle Activities and EMG from Wrist PPG Values
title_fullStr PPG2EMG: Estimating Upper-Arm Muscle Activities and EMG from Wrist PPG Values
title_full_unstemmed PPG2EMG: Estimating Upper-Arm Muscle Activities and EMG from Wrist PPG Values
title_short PPG2EMG: Estimating Upper-Arm Muscle Activities and EMG from Wrist PPG Values
title_sort ppg2emg: estimating upper-arm muscle activities and emg from wrist ppg values
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962560/
https://www.ncbi.nlm.nih.gov/pubmed/36850382
http://dx.doi.org/10.3390/s23041782
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