Identification of muscle innervation zones using linear electrode arrays: a fundamental step to measure fibers conduction velocity
Fiber conduction velocity (CV) is a parameter correlated to the physiological membrane properties of the skeletal muscle fibers. Changes in muscle fiber CV are correlated to the gradation of force and fatigue, and can be measured by means of surface electromyography EMG (sEMG). sEMG measurement of C...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2021-01-01
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| Series: | Arab Journal of Basic and Applied Sciences |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/25765299.2021.1894731 |
| _version_ | 1819096388006313984 |
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| author | Matteo Beretta-Piccoli Corrado Cescon Marco Barbero Giuseppe D’Antona |
| author_facet | Matteo Beretta-Piccoli Corrado Cescon Marco Barbero Giuseppe D’Antona |
| author_sort | Matteo Beretta-Piccoli |
| collection | DOAJ |
| description | Fiber conduction velocity (CV) is a parameter correlated to the physiological membrane properties of the skeletal muscle fibers. Changes in muscle fiber CV are correlated to the gradation of force and fatigue, and can be measured by means of surface electromyography EMG (sEMG). sEMG measurement of CV during muscle contractions requires the correct identification of the skeletal muscle innervation zone (IZ). In superficial muscles, IZ location can be detected using linear electrode arrays and visually identified as the point of inversion of the detected motor unit action potential (MUAP) propagation. In the present work, we present a method for the effective and fast detection of the IZ location, through the following procedures: (1) identification of the target superficial muscle considering the muscle fiber architecture; (2) electrode array selection based on interelectrode distance and number of electrodes; (3) subject training to perform submaximal isometric contractions of the target muscle/s; (4) electrode array positioning along the muscle surface to investigate the IZ position during the contractions by visual identification of MUAP patterns. |
| first_indexed | 2024-12-21T23:58:24Z |
| format | Article |
| id | doaj.art-ddd58f6da3f3432f906f9e8338e5f164 |
| institution | Directory Open Access Journal |
| issn | 2576-5299 |
| language | English |
| last_indexed | 2024-12-21T23:58:24Z |
| publishDate | 2021-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Arab Journal of Basic and Applied Sciences |
| spelling | doaj.art-ddd58f6da3f3432f906f9e8338e5f1642022-12-21T18:45:46ZengTaylor & Francis GroupArab Journal of Basic and Applied Sciences2576-52992021-01-0128126427110.1080/25765299.2021.18947311894731Identification of muscle innervation zones using linear electrode arrays: a fundamental step to measure fibers conduction velocityMatteo Beretta-Piccoli0Corrado Cescon1Marco Barbero2Giuseppe D’Antona3Rehabilitation Research Laboratory, Department of Business Economics, Health and Social Care, University of Applied Sciences and Arts of Southern Switzerland, SUPSIRehabilitation Research Laboratory, Department of Business Economics, Health and Social Care, University of Applied Sciences and Arts of Southern Switzerland, SUPSIRehabilitation Research Laboratory, Department of Business Economics, Health and Social Care, University of Applied Sciences and Arts of Southern Switzerland, SUPSICriams-Sport Medicine Centre Voghera, University of PaviaFiber conduction velocity (CV) is a parameter correlated to the physiological membrane properties of the skeletal muscle fibers. Changes in muscle fiber CV are correlated to the gradation of force and fatigue, and can be measured by means of surface electromyography EMG (sEMG). sEMG measurement of CV during muscle contractions requires the correct identification of the skeletal muscle innervation zone (IZ). In superficial muscles, IZ location can be detected using linear electrode arrays and visually identified as the point of inversion of the detected motor unit action potential (MUAP) propagation. In the present work, we present a method for the effective and fast detection of the IZ location, through the following procedures: (1) identification of the target superficial muscle considering the muscle fiber architecture; (2) electrode array selection based on interelectrode distance and number of electrodes; (3) subject training to perform submaximal isometric contractions of the target muscle/s; (4) electrode array positioning along the muscle surface to investigate the IZ position during the contractions by visual identification of MUAP patterns.http://dx.doi.org/10.1080/25765299.2021.1894731innervation zoneskeletal musclessurface emgmotor unit action potentialsmultichannel semg |
| spellingShingle | Matteo Beretta-Piccoli Corrado Cescon Marco Barbero Giuseppe D’Antona Identification of muscle innervation zones using linear electrode arrays: a fundamental step to measure fibers conduction velocity Arab Journal of Basic and Applied Sciences innervation zone skeletal muscles surface emg motor unit action potentials multichannel semg |
| title | Identification of muscle innervation zones using linear electrode arrays: a fundamental step to measure fibers conduction velocity |
| title_full | Identification of muscle innervation zones using linear electrode arrays: a fundamental step to measure fibers conduction velocity |
| title_fullStr | Identification of muscle innervation zones using linear electrode arrays: a fundamental step to measure fibers conduction velocity |
| title_full_unstemmed | Identification of muscle innervation zones using linear electrode arrays: a fundamental step to measure fibers conduction velocity |
| title_short | Identification of muscle innervation zones using linear electrode arrays: a fundamental step to measure fibers conduction velocity |
| title_sort | identification of muscle innervation zones using linear electrode arrays a fundamental step to measure fibers conduction velocity |
| topic | innervation zone skeletal muscles surface emg motor unit action potentials multichannel semg |
| url | http://dx.doi.org/10.1080/25765299.2021.1894731 |
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