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Tytuł:
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Advanced Statistical Analysis of 3D Kinect Data: Mimetic Muscle Rehabilitation Following Head and Neck Surgeries Causing Facial Paresis.
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Autorzy:
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Kohout J; Department of Computing and Control Engineering, University of Chemistry and Technology Prague, 1905/5 Technická, 16628 Praha 6, Czech Republic.
Verešpejová L; Department of Otorhinolaryngology, 3rd Faculty of Medicine, Charles University Prague, University Hospital Kralovske Vinohrady, 1150/50 Šrobárova, 10034 Praha 10, Czech Republic.
Kříž P; Department of Mathematics, University of Chemistry and Technology Prague, 1905/5 Technická, 16628 Praha 6, Czech Republic.
Červená L; Department of Mathematics, University of Chemistry and Technology Prague, 1905/5 Technická, 16628 Praha 6, Czech Republic.
Štícha K; Department of Computing and Control Engineering, University of Chemistry and Technology Prague, 1905/5 Technická, 16628 Praha 6, Czech Republic.
Crha J; Department of Computing and Control Engineering, University of Chemistry and Technology Prague, 1905/5 Technická, 16628 Praha 6, Czech Republic.
Trnková K; Department of Otorhinolaryngology, 3rd Faculty of Medicine, Charles University Prague, University Hospital Kralovske Vinohrady, 1150/50 Šrobárova, 10034 Praha 10, Czech Republic.
Chovanec M; Department of Otorhinolaryngology, 3rd Faculty of Medicine, Charles University Prague, University Hospital Kralovske Vinohrady, 1150/50 Šrobárova, 10034 Praha 10, Czech Republic.
Mareš J; Department of Computing and Control Engineering, University of Chemistry and Technology Prague, 1905/5 Technická, 16628 Praha 6, Czech Republic.
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Źródło:
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Sensors (Basel, Switzerland) [Sensors (Basel)] 2020 Dec 26; Vol. 21 (1). Date of Electronic Publication: 2020 Dec 26.
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Typ publikacji:
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Journal Article
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Język:
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English
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Imprint Name(s):
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Original Publication: Basel, Switzerland : MDPI, c2000-
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MeSH Terms:
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Facial Paralysis*
Kinetics*
Multivariate Analysis*
Facial Muscles ; Facial Nerve ; Female ; Humans ; Male ; Rehabilitation
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References:
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PLoS One. 2019 Jan 25;14(1):e0210725. (PMID: 30682076)
Otolaryngol Head Neck Surg. 1985 Apr;93(2):146-7. (PMID: 3921901)
Plast Reconstr Surg. 2015 Feb;135(2):569-579. (PMID: 25357164)
Otol Neurotol. 2003 Jan;24(1):118-22. (PMID: 12544040)
Semin Plast Surg. 2004 Feb;18(1):13-22. (PMID: 20574466)
GMS Curr Top Otorhinolaryngol Head Neck Surg. 2017 Dec 18;16:Doc03. (PMID: 29279723)
J Plast Reconstr Aesthet Surg. 2019 Jun;72(6):946-963. (PMID: 30928304)
Acta Neurochir (Wien). 2017 Apr;159(4):733-738. (PMID: 28188418)
IEEE Trans Cybern. 2013 Oct;43(5):1318-34. (PMID: 23807480)
J Hum Kinet. 2017 Dec 28;60:39-49. (PMID: 29339984)
J Craniomaxillofac Surg. 2013 Oct;41(7):e175-9. (PMID: 23321051)
J Biomed Opt. 2016 Sep 1;21(9):94002. (PMID: 27604560)
Arch Phys Med Rehabil. 2019 Jan;100(1):115-127. (PMID: 30171827)
BMC Med Res Methodol. 2013 Mar 19;13:43. (PMID: 23510439)
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Grant Information:
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LTAIN19007 Ministry of Education, Youth and Sports
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Contributed Indexing:
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Keywords: House–Brackmann scale; Kinect; functional data analysis; ordinal classification; rehabilitation
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Entry Date(s):
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Date Created: 20201230 Date Completed: 20210407 Latest Revision: 20210407
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Update Code:
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20240105
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PubMed Central ID:
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PMC7795302
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DOI:
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10.3390/s21010103
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PMID:
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33375297
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An advanced statistical analysis of patients' faces after specific surgical procedures that temporarily negatively affect the patient's mimetic muscles is presented. For effective planning of rehabilitation, which typically lasts several months, it is crucial to correctly evaluate the improvement of the mimetic muscle function. The current way of describing the development of rehabilitation depends on the subjective opinion and expertise of the clinician and is not very precise concerning when the most common classification (House-Brackmann scale) is used. Our system is based on a stereovision Kinect camera and an advanced mathematical approach that objectively quantifies the mimetic muscle function independently of the clinician's opinion. To effectively deal with the complexity of the 3D camera input data and uncertainty of the evaluation process, we designed a three-stage data-analytic procedure combining the calculation of indicators determined by clinicians with advanced statistical methods including functional data analysis and ordinal (multiple) logistic regression. We worked with a dataset of 93 distinct patients and 122 sets of measurements. In comparison to the classification with the House-Brackmann scale the developed system is able to automatically monitor reinnervation of mimetic muscles giving us opportunity to discriminate even small improvements during the course of rehabilitation.
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