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Three-Dimensional Quantification of Facial Morphology and Movements Using a Wearable Helmet
This work proposes a 3D normative database of facial ranges of motion in adults free from facial disorders. Ten facial movements were analyzed, each targeting the activity of specific muscle groups innervated by the facial nerve. The experimental protocol included a test-retest reliability positioni...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890869/ https://www.ncbi.nlm.nih.gov/pubmed/35252441 http://dx.doi.org/10.1155/2022/2774713 |
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author | Guihard, Marina Gracies, Jean-Michel Baude, Marjolaine |
author_facet | Guihard, Marina Gracies, Jean-Michel Baude, Marjolaine |
author_sort | Guihard, Marina |
collection | PubMed |
description | This work proposes a 3D normative database of facial ranges of motion in adults free from facial disorders. Ten facial movements were analyzed, each targeting the activity of specific muscle groups innervated by the facial nerve. The experimental protocol included a test-retest reliability positioning procedure of 25 skin markers based on clinical expertise in facial morphology. Three maximal voluntary contractions were recorded for each facial movement studied, using a 3D facial motion capture helmet. We included 53 adults free from facial disorders (26 men; age 43 ± 14), evaluated twice one week apart. The reliability of marker positioning was expressed as absolute measurement errors. The range of motion vectors of all markers from the best rest to the maximal voluntary contraction was calculated for each muscle group. Primary, secondary, and tertiary markers were extracted for each facial movement. 3D Procruste and asymmetry indices were developed. This allowed the identification of common thresholds of 10% for the asymmetry index and of 6 mm for the Procruste index, beyond which facial motions would be considered abnormally asymmetric. The normative database quantifies facial motions and allows assessment of the degree of clinical disorders by comparison. This protocol is currently being investigated in patients with chronic unilateral peripheral facial paresis. |
format | Online Article Text |
id | pubmed-8890869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-88908692022-03-03 Three-Dimensional Quantification of Facial Morphology and Movements Using a Wearable Helmet Guihard, Marina Gracies, Jean-Michel Baude, Marjolaine Biomed Res Int Research Article This work proposes a 3D normative database of facial ranges of motion in adults free from facial disorders. Ten facial movements were analyzed, each targeting the activity of specific muscle groups innervated by the facial nerve. The experimental protocol included a test-retest reliability positioning procedure of 25 skin markers based on clinical expertise in facial morphology. Three maximal voluntary contractions were recorded for each facial movement studied, using a 3D facial motion capture helmet. We included 53 adults free from facial disorders (26 men; age 43 ± 14), evaluated twice one week apart. The reliability of marker positioning was expressed as absolute measurement errors. The range of motion vectors of all markers from the best rest to the maximal voluntary contraction was calculated for each muscle group. Primary, secondary, and tertiary markers were extracted for each facial movement. 3D Procruste and asymmetry indices were developed. This allowed the identification of common thresholds of 10% for the asymmetry index and of 6 mm for the Procruste index, beyond which facial motions would be considered abnormally asymmetric. The normative database quantifies facial motions and allows assessment of the degree of clinical disorders by comparison. This protocol is currently being investigated in patients with chronic unilateral peripheral facial paresis. Hindawi 2022-02-23 /pmc/articles/PMC8890869/ /pubmed/35252441 http://dx.doi.org/10.1155/2022/2774713 Text en Copyright © 2022 Marina Guihard et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Guihard, Marina Gracies, Jean-Michel Baude, Marjolaine Three-Dimensional Quantification of Facial Morphology and Movements Using a Wearable Helmet |
title | Three-Dimensional Quantification of Facial Morphology and Movements Using a Wearable Helmet |
title_full | Three-Dimensional Quantification of Facial Morphology and Movements Using a Wearable Helmet |
title_fullStr | Three-Dimensional Quantification of Facial Morphology and Movements Using a Wearable Helmet |
title_full_unstemmed | Three-Dimensional Quantification of Facial Morphology and Movements Using a Wearable Helmet |
title_short | Three-Dimensional Quantification of Facial Morphology and Movements Using a Wearable Helmet |
title_sort | three-dimensional quantification of facial morphology and movements using a wearable helmet |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890869/ https://www.ncbi.nlm.nih.gov/pubmed/35252441 http://dx.doi.org/10.1155/2022/2774713 |
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