Optimal Identification of Muscle Synergies From Typical Sit-to-Stand Clinical Tests
<italic>Goal:</italic> The goal of this manuscript is to investigate the optimal methods for extracting muscle synergies from a sit-to-stand test; in particular, the performance in identifying the modular structures from signals of different length is characterized. <italic>Methods...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Open Journal of Engineering in Medicine and Biology |
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| Online Access: | https://ieeexplore.ieee.org/document/10086573/ |
| _version_ | 1797346273318141952 |
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| author | Simone Ranaldi Leonardo Gizzi Giacomo Severini Cristiano De Marchis |
| author_facet | Simone Ranaldi Leonardo Gizzi Giacomo Severini Cristiano De Marchis |
| author_sort | Simone Ranaldi |
| collection | DOAJ |
| description | <italic>Goal:</italic> The goal of this manuscript is to investigate the optimal methods for extracting muscle synergies from a sit-to-stand test; in particular, the performance in identifying the modular structures from signals of different length is characterized. <italic>Methods:</italic> Surface electromyography signals have been recorded from instrumented sit-to-stand trials. Muscle synergies have then been extracted from signals of different duration (i.e. 5 times sit to stand and 30 seconds sit to stand) from different portions of a complete sit-to-stand-to-sit cycle. Performance have then been characterized using cross-validation procedures. Moreover, an optimal method based on a modified Akaike Information Criterion measure is applied on the signal for selecting the correct number of synergies from each trial. <italic>Results:</italic> Results show that it is possible to identify correctly muscle synergies from relatively short signals in a sit-to-stand experiment. Moreover, the information about motor control structures is identified with a higher consistency when only the sit-to-stand phase of the complete cycle is considered. <italic>Conclusions:</italic> Defining a set of optimal methods for the extraction of muscle synergies from a clnical test such as the sit-to-stand is of key relevance to ensure the applicability of any synergy-related analysis in the clinical practice, without requiring knowledge of the technical signal processing methods and the underlying features of the signal. |
| first_indexed | 2024-03-08T11:29:41Z |
| format | Article |
| id | doaj.art-0b61bfa6429a4ba29a561d3723e7379d |
| institution | Directory Open Access Journal |
| issn | 2644-1276 |
| language | English |
| last_indexed | 2024-03-08T11:29:41Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Engineering in Medicine and Biology |
| spelling | doaj.art-0b61bfa6429a4ba29a561d3723e7379d2024-01-26T00:02:16ZengIEEEIEEE Open Journal of Engineering in Medicine and Biology2644-12762023-01-014313710.1109/OJEMB.2023.326312310086573Optimal Identification of Muscle Synergies From Typical Sit-to-Stand Clinical TestsSimone Ranaldi0https://orcid.org/0000-0002-7849-0893Leonardo Gizzi1Giacomo Severini2Cristiano De Marchis3https://orcid.org/0000-0003-1522-7454Deparment of Industrial, Electronics and Mechanical Engineering, Roma Tre University, Rome, ItalyInstitute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Stuttgart, GermanySchool of Electrical and Electronic Engineering, University College Dublin, Dublin, IrelandDepartment of Engineering, University of Messina, Messina, Italy<italic>Goal:</italic> The goal of this manuscript is to investigate the optimal methods for extracting muscle synergies from a sit-to-stand test; in particular, the performance in identifying the modular structures from signals of different length is characterized. <italic>Methods:</italic> Surface electromyography signals have been recorded from instrumented sit-to-stand trials. Muscle synergies have then been extracted from signals of different duration (i.e. 5 times sit to stand and 30 seconds sit to stand) from different portions of a complete sit-to-stand-to-sit cycle. Performance have then been characterized using cross-validation procedures. Moreover, an optimal method based on a modified Akaike Information Criterion measure is applied on the signal for selecting the correct number of synergies from each trial. <italic>Results:</italic> Results show that it is possible to identify correctly muscle synergies from relatively short signals in a sit-to-stand experiment. Moreover, the information about motor control structures is identified with a higher consistency when only the sit-to-stand phase of the complete cycle is considered. <italic>Conclusions:</italic> Defining a set of optimal methods for the extraction of muscle synergies from a clnical test such as the sit-to-stand is of key relevance to ensure the applicability of any synergy-related analysis in the clinical practice, without requiring knowledge of the technical signal processing methods and the underlying features of the signal.https://ieeexplore.ieee.org/document/10086573/Sit-to-standmuscle synergiessurface electromyographybiomedical signal processingclinical test |
| spellingShingle | Simone Ranaldi Leonardo Gizzi Giacomo Severini Cristiano De Marchis Optimal Identification of Muscle Synergies From Typical Sit-to-Stand Clinical Tests IEEE Open Journal of Engineering in Medicine and Biology Sit-to-stand muscle synergies surface electromyography biomedical signal processing clinical test |
| title | Optimal Identification of Muscle Synergies From Typical Sit-to-Stand Clinical Tests |
| title_full | Optimal Identification of Muscle Synergies From Typical Sit-to-Stand Clinical Tests |
| title_fullStr | Optimal Identification of Muscle Synergies From Typical Sit-to-Stand Clinical Tests |
| title_full_unstemmed | Optimal Identification of Muscle Synergies From Typical Sit-to-Stand Clinical Tests |
| title_short | Optimal Identification of Muscle Synergies From Typical Sit-to-Stand Clinical Tests |
| title_sort | optimal identification of muscle synergies from typical sit to stand clinical tests |
| topic | Sit-to-stand muscle synergies surface electromyography biomedical signal processing clinical test |
| url | https://ieeexplore.ieee.org/document/10086573/ |
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