JcvPCA and JsvCRP: A set of metrics to evaluate changes in joint coordination strategies.
Characterizing changes in inter-joint coordination presents significant challenges, as it necessitates the examination of relationships between multiple degrees of freedom during movements and their temporal evolution. Existing metrics are inadequate in providing physiologically coherent results tha...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0325792 |
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| author | Océane Dubois Agnès Roby-Brami Ross Parry Nathanaël Jarrassé |
| author_facet | Océane Dubois Agnès Roby-Brami Ross Parry Nathanaël Jarrassé |
| author_sort | Océane Dubois |
| collection | DOAJ |
| description | Characterizing changes in inter-joint coordination presents significant challenges, as it necessitates the examination of relationships between multiple degrees of freedom during movements and their temporal evolution. Existing metrics are inadequate in providing physiologically coherent results that document both the temporal and spatial aspects of inter-joint coordination. In this article, we introduce two novel metrics to enhance the analysis of inter-joint coordination. The first metric, Joint Contribution Variation based on Principal Component Analysis (JcvPCA), evaluates the variation in each joint's contribution during series of movements. The second metric, Joint Synchronization Variation based on Continuous Relative Phase (JsvCRP), measures the variation in temporal synchronization among joints between two movement datasets. We begin by presenting each metric and explaining their derivation. We then demonstrate the application of these metrics using simulated and experimental datasets involving identical movement tasks performed with distinct coordination strategies. The results show that these metrics can successfully differentiate between unique coordination strategies, providing meaningful insights into joint collaboration during movement. These metrics hold significant potential for fields such as ergonomics and clinical rehabilitation, where a precise understanding of the evolution of inter-joint coordination strategies is crucial. Potential applications include evaluating the effects of upper limb exoskeletons in industrial settings or monitoring the progress of patients undergoing neurological rehabilitation. |
| format | Article |
| id | doaj-art-efa4d3c2c7424bf7ac93e062e1b4f906 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-efa4d3c2c7424bf7ac93e062e1b4f9062025-08-20T03:37:58ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01208e032579210.1371/journal.pone.0325792JcvPCA and JsvCRP: A set of metrics to evaluate changes in joint coordination strategies.Océane DuboisAgnès Roby-BramiRoss ParryNathanaël JarrasséCharacterizing changes in inter-joint coordination presents significant challenges, as it necessitates the examination of relationships between multiple degrees of freedom during movements and their temporal evolution. Existing metrics are inadequate in providing physiologically coherent results that document both the temporal and spatial aspects of inter-joint coordination. In this article, we introduce two novel metrics to enhance the analysis of inter-joint coordination. The first metric, Joint Contribution Variation based on Principal Component Analysis (JcvPCA), evaluates the variation in each joint's contribution during series of movements. The second metric, Joint Synchronization Variation based on Continuous Relative Phase (JsvCRP), measures the variation in temporal synchronization among joints between two movement datasets. We begin by presenting each metric and explaining their derivation. We then demonstrate the application of these metrics using simulated and experimental datasets involving identical movement tasks performed with distinct coordination strategies. The results show that these metrics can successfully differentiate between unique coordination strategies, providing meaningful insights into joint collaboration during movement. These metrics hold significant potential for fields such as ergonomics and clinical rehabilitation, where a precise understanding of the evolution of inter-joint coordination strategies is crucial. Potential applications include evaluating the effects of upper limb exoskeletons in industrial settings or monitoring the progress of patients undergoing neurological rehabilitation.https://doi.org/10.1371/journal.pone.0325792 |
| spellingShingle | Océane Dubois Agnès Roby-Brami Ross Parry Nathanaël Jarrassé JcvPCA and JsvCRP: A set of metrics to evaluate changes in joint coordination strategies. PLoS ONE |
| title | JcvPCA and JsvCRP: A set of metrics to evaluate changes in joint coordination strategies. |
| title_full | JcvPCA and JsvCRP: A set of metrics to evaluate changes in joint coordination strategies. |
| title_fullStr | JcvPCA and JsvCRP: A set of metrics to evaluate changes in joint coordination strategies. |
| title_full_unstemmed | JcvPCA and JsvCRP: A set of metrics to evaluate changes in joint coordination strategies. |
| title_short | JcvPCA and JsvCRP: A set of metrics to evaluate changes in joint coordination strategies. |
| title_sort | jcvpca and jsvcrp a set of metrics to evaluate changes in joint coordination strategies |
| url | https://doi.org/10.1371/journal.pone.0325792 |
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