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Comparison of Various Smoothness Metrics for Upper Limb Movements in Middle-Aged Healthy Subjects

Backgound: Metrics for movement smoothness include the number of zero-crossings on the acceleration profile (N0C), the log dimensionless jerk (LDLJ), the normalized averaged rectified jerk (NARJ) and the spectral arc length (SPARC). Sensitivity to the handedness and movement type of these four metri...

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Autores principales: Bayle, Nicolas, Lempereur, Mathieu, Hutin, Emilie, Motavasseli, Damien, Remy-Neris, Olivier, Gracies, Jean-Michel, Cornec, Gwenaël
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919347/
https://www.ncbi.nlm.nih.gov/pubmed/36772197
http://dx.doi.org/10.3390/s23031158
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author Bayle, Nicolas
Lempereur, Mathieu
Hutin, Emilie
Motavasseli, Damien
Remy-Neris, Olivier
Gracies, Jean-Michel
Cornec, Gwenaël
author_facet Bayle, Nicolas
Lempereur, Mathieu
Hutin, Emilie
Motavasseli, Damien
Remy-Neris, Olivier
Gracies, Jean-Michel
Cornec, Gwenaël
author_sort Bayle, Nicolas
collection PubMed
description Backgound: Metrics for movement smoothness include the number of zero-crossings on the acceleration profile (N0C), the log dimensionless jerk (LDLJ), the normalized averaged rectified jerk (NARJ) and the spectral arc length (SPARC). Sensitivity to the handedness and movement type of these four metrics was compared and correlations with other kinematic parameters were explored in healthy subjects. Methods: Thirty-two healthy participants underwent 3D upper limb motion analysis during two sets of pointing movements on each side. They performed forward- and backward-pointing movements at a self-selected speed to a target located ahead at shoulder height and at 90% arm length, with and without a three-second pause between forward and backward movements. Kinematics were collected, and smoothness metrics were computed. Results: LDLJ, NARJ and N0C found backward movements to be smoother, while SPARC found the opposite. Inter- and intra-subject coefficients of variation were lowest for SPARC. LDLJ, NARJ and N0C were correlated with each other and with movement time, unlike SPARC. Conclusion: There are major differences between smoothness metrics measured in the temporal domain (N0C, LDLJ, NARJ), which depend on movement time, and those measured in the frequency domain, the SPARC, which gave results opposite to the other metrics when comparing backward and forward movements.
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spelling pubmed-99193472023-02-12 Comparison of Various Smoothness Metrics for Upper Limb Movements in Middle-Aged Healthy Subjects Bayle, Nicolas Lempereur, Mathieu Hutin, Emilie Motavasseli, Damien Remy-Neris, Olivier Gracies, Jean-Michel Cornec, Gwenaël Sensors (Basel) Article Backgound: Metrics for movement smoothness include the number of zero-crossings on the acceleration profile (N0C), the log dimensionless jerk (LDLJ), the normalized averaged rectified jerk (NARJ) and the spectral arc length (SPARC). Sensitivity to the handedness and movement type of these four metrics was compared and correlations with other kinematic parameters were explored in healthy subjects. Methods: Thirty-two healthy participants underwent 3D upper limb motion analysis during two sets of pointing movements on each side. They performed forward- and backward-pointing movements at a self-selected speed to a target located ahead at shoulder height and at 90% arm length, with and without a three-second pause between forward and backward movements. Kinematics were collected, and smoothness metrics were computed. Results: LDLJ, NARJ and N0C found backward movements to be smoother, while SPARC found the opposite. Inter- and intra-subject coefficients of variation were lowest for SPARC. LDLJ, NARJ and N0C were correlated with each other and with movement time, unlike SPARC. Conclusion: There are major differences between smoothness metrics measured in the temporal domain (N0C, LDLJ, NARJ), which depend on movement time, and those measured in the frequency domain, the SPARC, which gave results opposite to the other metrics when comparing backward and forward movements. MDPI 2023-01-19 /pmc/articles/PMC9919347/ /pubmed/36772197 http://dx.doi.org/10.3390/s23031158 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
Bayle, Nicolas
Lempereur, Mathieu
Hutin, Emilie
Motavasseli, Damien
Remy-Neris, Olivier
Gracies, Jean-Michel
Cornec, Gwenaël
Comparison of Various Smoothness Metrics for Upper Limb Movements in Middle-Aged Healthy Subjects
title Comparison of Various Smoothness Metrics for Upper Limb Movements in Middle-Aged Healthy Subjects
title_full Comparison of Various Smoothness Metrics for Upper Limb Movements in Middle-Aged Healthy Subjects
title_fullStr Comparison of Various Smoothness Metrics for Upper Limb Movements in Middle-Aged Healthy Subjects
title_full_unstemmed Comparison of Various Smoothness Metrics for Upper Limb Movements in Middle-Aged Healthy Subjects
title_short Comparison of Various Smoothness Metrics for Upper Limb Movements in Middle-Aged Healthy Subjects
title_sort comparison of various smoothness metrics for upper limb movements in middle-aged healthy subjects
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919347/
https://www.ncbi.nlm.nih.gov/pubmed/36772197
http://dx.doi.org/10.3390/s23031158
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