Evaluation of Muscle Function by Means of a Muscle-Specific and a Global Index
Gait analysis applications in clinics are still uncommon, for three main reasons: (1) the considerable time needed to prepare the subject for the examination; (2) the lack of user-independent tools; (3) the large variability of muscle activation patterns observed in healthy and pathological subjects...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/21/7186 |
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| author | Samanta Rosati Marco Ghislieri Gregorio Dotti Daniele Fortunato Valentina Agostini Marco Knaflitz Gabriella Balestra |
| author_facet | Samanta Rosati Marco Ghislieri Gregorio Dotti Daniele Fortunato Valentina Agostini Marco Knaflitz Gabriella Balestra |
| author_sort | Samanta Rosati |
| collection | DOAJ |
| description | Gait analysis applications in clinics are still uncommon, for three main reasons: (1) the considerable time needed to prepare the subject for the examination; (2) the lack of user-independent tools; (3) the large variability of muscle activation patterns observed in healthy and pathological subjects. Numerical indices quantifying the muscle coordination of a subject could enable clinicians to identify patterns that deviate from those of a reference population and to follow the progress of the subject after surgery or completing a rehabilitation program. In this work, we present two user-independent indices. First, a muscle-specific index (MFI) that quantifies the similarity of the activation pattern of a muscle of a specific subject with that of a reference population. Second, a global index (GFI) that provides a score of the overall activation of a muscle set. These two indices were tested on two groups of healthy and pathological children with encouraging results. Hence, the two indices will allow clinicians to assess the muscle activation, identifying muscles showing an abnormal activation pattern, and associate a functional score to every single muscle as well as to the entire muscle set. These opportunities could contribute to facilitating the diffusion of surface EMG analysis in clinics. |
| first_indexed | 2024-03-10T05:53:14Z |
| format | Article |
| id | doaj.art-c0143af2107046c88f85829fbc164564 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T05:53:14Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-c0143af2107046c88f85829fbc1645642023-11-22T21:37:52ZengMDPI AGSensors1424-82202021-10-012121718610.3390/s21217186Evaluation of Muscle Function by Means of a Muscle-Specific and a Global IndexSamanta Rosati0Marco Ghislieri1Gregorio Dotti2Daniele Fortunato3Valentina Agostini4Marco Knaflitz5Gabriella Balestra6Department of Electronics and Telecommunications and PoliToBIOMed Lab, Politecnico di Torino, 10129 Torino, ItalyDepartment of Electronics and Telecommunications and PoliToBIOMed Lab, Politecnico di Torino, 10129 Torino, ItalyDepartment of Electronics and Telecommunications and PoliToBIOMed Lab, Politecnico di Torino, 10129 Torino, ItalyDepartment of Electronics and Telecommunications and PoliToBIOMed Lab, Politecnico di Torino, 10129 Torino, ItalyDepartment of Electronics and Telecommunications and PoliToBIOMed Lab, Politecnico di Torino, 10129 Torino, ItalyDepartment of Electronics and Telecommunications and PoliToBIOMed Lab, Politecnico di Torino, 10129 Torino, ItalyDepartment of Electronics and Telecommunications and PoliToBIOMed Lab, Politecnico di Torino, 10129 Torino, ItalyGait analysis applications in clinics are still uncommon, for three main reasons: (1) the considerable time needed to prepare the subject for the examination; (2) the lack of user-independent tools; (3) the large variability of muscle activation patterns observed in healthy and pathological subjects. Numerical indices quantifying the muscle coordination of a subject could enable clinicians to identify patterns that deviate from those of a reference population and to follow the progress of the subject after surgery or completing a rehabilitation program. In this work, we present two user-independent indices. First, a muscle-specific index (MFI) that quantifies the similarity of the activation pattern of a muscle of a specific subject with that of a reference population. Second, a global index (GFI) that provides a score of the overall activation of a muscle set. These two indices were tested on two groups of healthy and pathological children with encouraging results. Hence, the two indices will allow clinicians to assess the muscle activation, identifying muscles showing an abnormal activation pattern, and associate a functional score to every single muscle as well as to the entire muscle set. These opportunities could contribute to facilitating the diffusion of surface EMG analysis in clinics.https://www.mdpi.com/1424-8220/21/21/7186gait analysisEMGmuscle activation patternsmovement analysis |
| spellingShingle | Samanta Rosati Marco Ghislieri Gregorio Dotti Daniele Fortunato Valentina Agostini Marco Knaflitz Gabriella Balestra Evaluation of Muscle Function by Means of a Muscle-Specific and a Global Index Sensors gait analysis EMG muscle activation patterns movement analysis |
| title | Evaluation of Muscle Function by Means of a Muscle-Specific and a Global Index |
| title_full | Evaluation of Muscle Function by Means of a Muscle-Specific and a Global Index |
| title_fullStr | Evaluation of Muscle Function by Means of a Muscle-Specific and a Global Index |
| title_full_unstemmed | Evaluation of Muscle Function by Means of a Muscle-Specific and a Global Index |
| title_short | Evaluation of Muscle Function by Means of a Muscle-Specific and a Global Index |
| title_sort | evaluation of muscle function by means of a muscle specific and a global index |
| topic | gait analysis EMG muscle activation patterns movement analysis |
| url | https://www.mdpi.com/1424-8220/21/21/7186 |
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