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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...
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Published in: | BioMed research international 2022, Vol.2022 (1), p.2774713-2774713 |
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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. |
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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.</description><identifier>ISSN: 2314-6133</identifier><identifier>EISSN: 2314-6141</identifier><identifier>DOI: 10.1155/2022/2774713</identifier><identifier>PMID: 35252441</identifier><language>eng</language><publisher>United States: Hindawi</publisher><subject>Adult ; Adults ; Asymmetry ; Biomedical research ; Clinical medicine ; Disorders ; Face ; Face - anatomy & histology ; Facial Muscles ; Facial nerve ; Facial Paralysis ; Head Protective Devices ; Health aspects ; Helmets ; Humans ; Imaging, Three-Dimensional ; Joints ; Life Sciences ; Male ; Markers ; Middle Aged ; Morphology ; Motion capture ; Mouth ; Movement ; Muscle contraction ; Muscles ; Paresis ; Physiological aspects ; Protective equipment ; Range of motion ; Reliability analysis ; Reproducibility of Results ; Symmetry ; Three dimensional motion ; Wearable Electronic Devices</subject><ispartof>BioMed research international, 2022, Vol.2022 (1), p.2774713-2774713</ispartof><rights>Copyright © 2022 Marina Guihard et al.</rights><rights>COPYRIGHT 2022 John Wiley & Sons, Inc.</rights><rights>Copyright © 2022 Marina Guihard et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>Copyright © 2022 Marina Guihard et al. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c510t-946dfd953ba3551d0d3d04d17dd8766989ae0cf9703e419652f4216ff3598e33</citedby><cites>FETCH-LOGICAL-c510t-946dfd953ba3551d0d3d04d17dd8766989ae0cf9703e419652f4216ff3598e33</cites><orcidid>0000-0002-5799-4224 ; 0000-0002-5465-1728 ; 0000-0001-9967-0319 ; 0000-0003-4859-8390</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2636153892/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2636153892?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,4010,25731,27900,27901,27902,36989,36990,44566,74869</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35252441$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-04293504$$DView record in HAL$$Hfree_for_read</backlink></links><search><contributor>Messina, Giuseppe</contributor><contributor>Giuseppe Messina</contributor><creatorcontrib>Guihard, Marina</creatorcontrib><creatorcontrib>Gracies, Jean-Michel</creatorcontrib><creatorcontrib>Baude, Marjolaine</creatorcontrib><title>Three-Dimensional Quantification of Facial Morphology and Movements Using a Wearable Helmet</title><title>BioMed research international</title><addtitle>Biomed Res Int</addtitle><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.</description><subject>Adult</subject><subject>Adults</subject><subject>Asymmetry</subject><subject>Biomedical research</subject><subject>Clinical medicine</subject><subject>Disorders</subject><subject>Face</subject><subject>Face - anatomy & histology</subject><subject>Facial Muscles</subject><subject>Facial nerve</subject><subject>Facial Paralysis</subject><subject>Head Protective Devices</subject><subject>Health aspects</subject><subject>Helmets</subject><subject>Humans</subject><subject>Imaging, Three-Dimensional</subject><subject>Joints</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Markers</subject><subject>Middle Aged</subject><subject>Morphology</subject><subject>Motion capture</subject><subject>Mouth</subject><subject>Movement</subject><subject>Muscle contraction</subject><subject>Muscles</subject><subject>Paresis</subject><subject>Physiological aspects</subject><subject>Protective equipment</subject><subject>Range of motion</subject><subject>Reliability analysis</subject><subject>Reproducibility of Results</subject><subject>Symmetry</subject><subject>Three dimensional motion</subject><subject>Wearable Electronic Devices</subject><issn>2314-6133</issn><issn>2314-6141</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNp9ks-PUyEQx4nRuJt1b57NS7xo9Ln8fnAxaVbXmtQYkxoPHgh9QMuGBxXeq9n_XprWqnuQC8zMZ74MwwDwFME3CDF2hSHGV7jraIfIA3COCaItRxQ9PJ0JOQOXpdzCugTiUPLH4IwwzDCl6Bx8X26yte07P9hYfIo6NF8mHUfvfK_H6miSa25072vgU8rbTQppfdfoaKq5szVrLM3X4uO60c03q7NeBdvMbRjs-AQ8cjoUe3ncL8Dy5v3yet4uPn_4eD1btD1DcGwl5cYZychKE8aQgYYYSA3qjBEd51JIbWHvZAeJpUhyhh3FiDtHmBSWkAvw9iC7nVaDNX0tKeugttkPOt-ppL36NxL9Rq3TTgkhoeCyCrw8CGzupc1nC7X3QYolYZDuUGVfHC_L6cdky6gGX3obgo42TUVhTrjosOSios_vobdpyrXDBwoxIiT-Q611sMpHl2qN_V5UzbjsOCWC0Eq9PlB9TqVk6051Iqj2k6D2k6COk1DxZ3-35AT__vcKvDo-2Uejf_r_y_0ClV64Ig</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Guihard, Marina</creator><creator>Gracies, Jean-Michel</creator><creator>Baude, Marjolaine</creator><general>Hindawi</general><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><general>Hindawi Publishing Corporation</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7QO</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>1XC</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5799-4224</orcidid><orcidid>https://orcid.org/0000-0002-5465-1728</orcidid><orcidid>https://orcid.org/0000-0001-9967-0319</orcidid><orcidid>https://orcid.org/0000-0003-4859-8390</orcidid></search><sort><creationdate>2022</creationdate><title>Three-Dimensional Quantification of Facial Morphology and Movements Using a Wearable Helmet</title><author>Guihard, Marina ; Gracies, Jean-Michel ; Baude, Marjolaine</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c510t-946dfd953ba3551d0d3d04d17dd8766989ae0cf9703e419652f4216ff3598e33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adult</topic><topic>Adults</topic><topic>Asymmetry</topic><topic>Biomedical research</topic><topic>Clinical medicine</topic><topic>Disorders</topic><topic>Face</topic><topic>Face - anatomy & histology</topic><topic>Facial Muscles</topic><topic>Facial nerve</topic><topic>Facial Paralysis</topic><topic>Head Protective Devices</topic><topic>Health aspects</topic><topic>Helmets</topic><topic>Humans</topic><topic>Imaging, Three-Dimensional</topic><topic>Joints</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Markers</topic><topic>Middle Aged</topic><topic>Morphology</topic><topic>Motion capture</topic><topic>Mouth</topic><topic>Movement</topic><topic>Muscle contraction</topic><topic>Muscles</topic><topic>Paresis</topic><topic>Physiological aspects</topic><topic>Protective equipment</topic><topic>Range of motion</topic><topic>Reliability analysis</topic><topic>Reproducibility of Results</topic><topic>Symmetry</topic><topic>Three dimensional motion</topic><topic>Wearable Electronic Devices</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guihard, Marina</creatorcontrib><creatorcontrib>Gracies, Jean-Michel</creatorcontrib><creatorcontrib>Baude, Marjolaine</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Database (1962 - 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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. 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subjects | Adult Adults Asymmetry Biomedical research Clinical medicine Disorders Face Face - anatomy & histology Facial Muscles Facial nerve Facial Paralysis Head Protective Devices Health aspects Helmets Humans Imaging, Three-Dimensional Joints Life Sciences Male Markers Middle Aged Morphology Motion capture Mouth Movement Muscle contraction Muscles Paresis Physiological aspects Protective equipment Range of motion Reliability analysis Reproducibility of Results Symmetry Three dimensional motion Wearable Electronic Devices |
title | Three-Dimensional Quantification of Facial Morphology and Movements Using a Wearable Helmet |
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