Assessment of Mandibular Kinematic Variables using a Motion Analysis System and a Regular Mobile Phone.

Mansureh Ziaiee, Heydar Sadeghi, Mohammad Taghi Karimi, Masoud Rafiaei
Author Information
  1. Mansureh Ziaiee: Department of Sport Biomechanics and Injuries, Faculty of Physical Education and Sports Sciences, Kharazmi University, Tehran, Iran.
  2. Heydar Sadeghi: Department of Sport Biomechanics and Injuries, Faculty of Physical Education and Sports Sciences, Kharazmi University, Tehran, Iran.
  3. Mohammad Taghi Karimi: Rehabilitation Sciences Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
  4. Masoud Rafiaei: Department of Orthotics and Prosthetics, School of Rehabilitation Sciences, Isfahan University of Medical Sciences, Isfahan, Iran.

Abstract

Background: The development of a standard motion capture system is needed since the measurement of temporomandibular disorders is time-consuming and costly using laboratory tools.
Objective: The current study aimed to investigate the mandibular kinematic variables using a regular mobile phone and the motion analysis system.
Material and Methods: In this quasi-laboratory and comparative study, ten healthy individuals participated, and three mobile cameras, nine red markers, and Kinovea software were also used to investigate the mandibular kinematic variables. Nine light reflective markers were used to check the sensitivity, accuracy, and reliability of the proposed system. The motion was analyzed using seven motion analysis infrared cameras and Qualisys Track Manager (QTM) software. Two other raters analyzed the kinematic variables obtained from the mobile to measure intra- and inter-rater reliability.
Results: Pearson's correlation coefficient was obtained at 0.98, 0.75, 0.98, and 0.96, showing a high correlation. The accuracy and reliability validation tests showed an average error and an accuracy of 0.156 mm and 95%, respectively, with a mobile phone. The Intra Class Correlation coefficient showed a high internal correlation in the mentioned confidence interval (0.98 and 0.81, and 0.96 and 0.97). The intraclass correlation coefficient method also showed 97% inter-raster reliability.
Conclusion: Mobile phones as a new system can evaluate the kinematic variables of mandibular disorders with appropriate accuracy and reliability.

Keywords

References

  1. Stud Health Technol Inform. 2003;94:65-71 [PMID: 15455866]
  2. Med Biol Eng Comput. 2013 Apr;51(4):479-84 [PMID: 23242785]
  3. PLoS One. 2016 Oct 4;11(10):e0163934 [PMID: 27701462]
  4. Ann Biomed Eng. 2009 May;37(5):976-96 [PMID: 19252985]
  5. PLoS One. 2015 Sep 16;10(9):e0137507 [PMID: 26375800]
  6. Dentomaxillofac Radiol. 2013;42(1):95958184 [PMID: 22842637]
  7. Math Biosci Eng. 2020 Aug 28;17(5):5709-5726 [PMID: 33120574]
  8. Otolaryngol Head Neck Surg. 2006 Dec;135(6):865-71 [PMID: 17141075]
  9. J Dent Sci. 2021 Jan;16(1):241-248 [PMID: 33384804]
  10. Med J Islam Repub Iran. 2023 Mar 8;37:19 [PMID: 37123332]
  11. Front Hum Neurosci. 2021 Jan 12;14:618985 [PMID: 33510628]
  12. Biomed Eng Online. 2020 Apr 15;19(1):22 [PMID: 32295597]
  13. Comput Methods Biomech Biomed Engin. 2010 Jun;13(3):359-69 [PMID: 19844816]
  14. Int J Comput Dent. 2015;18(3):201-23 [PMID: 26389133]
  15. Cranio. 2017 Jan;35(1):46-51 [PMID: 27077251]
  16. Laryngoscope. 2008 Sep;118(9):1617-20 [PMID: 18596563]
  17. Comput Biol Med. 2008 Nov-Dec;38(11-12):1152-62 [PMID: 18976989]
  18. Braz J Otorhinolaryngol. 2011 Mar-Apr;77(2):237-44 [PMID: 21537626]
  19. Otolaryngol Head Neck Surg. 2005 Apr;132(4):543-9 [PMID: 15806042]
  20. Biomed Eng Online. 2013 Feb 22;12:17 [PMID: 23433470]
  21. J Biomech. 2016 Feb 8;49(3):442-9 [PMID: 26827172]
  22. BMC Oral Health. 2020 Oct 7;20(1):271 [PMID: 33028288]
  23. J Am Dent Assoc. 1952 Apr;46(4):375-86 [PMID: 13034397]
  24. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2010 Nov;110(5):648-56 [PMID: 20955952]

Word Cloud

Created with Highcharts 10.0.00reliabilitymotionsystemusingkinematicvariablesmobileaccuracycorrelationmandibularcoefficient98showedMobileMotiondisordersstudyinvestigatephoneanalysiscamerasmarkerssoftwarealsousedanalyzedobtained96highMandibularKinematicVariablesAnalysisSystemRegularPhoneBackground:developmentstandardcaptureneededsincemeasurementtemporomandibulartime-consumingcostlylaboratorytoolsObjective:currentaimedregularMaterialMethods:quasi-laboratorycomparativetenhealthyindividualsparticipatedthreenineredKinoveaNinelightreflectivechecksensitivityproposedseveninfraredQualisysTrackManagerQTMTworatersmeasureintra-inter-raterResults:Pearson's75showingvalidationtestsaverageerror156mm95%respectivelyIntraClassCorrelationinternalmentionedconfidenceinterval8197intraclassmethod97%inter-rasterConclusion:phonesnewcanevaluateappropriateAssessmentBiomechanicalPhenomenaMovementsRangeSoftwareTemporomandibularJointDisorders

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