Repeatability of the Vibroarthrogram in the Temporomandibular Joints
Current research concerning the repeatability of the joint’s sounds examination in the temporomandibular joints (TMJ) is inconclusive; thus, the aim of this study was to investigate the repeatability of the specific features of the vibroarthrogram (VAG) in the TMJ using accelerometers. The joint sou...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/23/9542 |
| _version_ | 1797462029313769472 |
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| author | Adam Łysiak Tomasz Marciniak Dawid Bączkowicz |
| author_facet | Adam Łysiak Tomasz Marciniak Dawid Bączkowicz |
| author_sort | Adam Łysiak |
| collection | DOAJ |
| description | Current research concerning the repeatability of the joint’s sounds examination in the temporomandibular joints (TMJ) is inconclusive; thus, the aim of this study was to investigate the repeatability of the specific features of the vibroarthrogram (VAG) in the TMJ using accelerometers. The joint sounds of both TMJs were measured with VAG accelerometers in two groups, study and control, each consisting of 47 participants (<i>n</i> = 94). Two VAG recording sessions consisted of 10 jaw open/close cycles guided by a metronome. The intraclass correlation coefficient (ICC) was calculated for seven VAG signal features. Additionally, a k-nearest-neighbors (KNN) classifier was defined and compared with a state-of-the-art method (joint vibration analysis (JVA) decision tree). ICC indicated excellent (for the integral below 300 Hz feature), good (total integral, integral above 300 Hz, and median frequency features), moderate (integral below to integral above 300 Hz ratio feature) and poor (peak amplitude feature) reliability. The accuracy scores for the KNN classifier (up to 0.81) were higher than those for the JVA decision tree (up to 0.60). The results of this study could open up a new field of research focused on the features of the vibroarthrogram in the context of the TMJ, further improving the diagnosing process. |
| first_indexed | 2024-03-09T17:31:03Z |
| format | Article |
| id | doaj.art-2c34f8c517fe42ceaf48d5fd6006fb7d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T17:31:03Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2c34f8c517fe42ceaf48d5fd6006fb7d2023-11-24T12:16:08ZengMDPI AGSensors1424-82202022-12-012223954210.3390/s22239542Repeatability of the Vibroarthrogram in the Temporomandibular JointsAdam Łysiak0Tomasz Marciniak1Dawid Bączkowicz2Faculty of Electrical Engineering, Automatic Control and Computer Science, Opole University of Technology, 45-758 Opole, PolandDepartment of Rehabilitation, Józef Piłsudski University of Physical Education in Warsaw, 00-809 Warsaw, PolandFaculty of Physical Education and Physiotherapy, Opole University of Technology, 45-758 Opole, PolandCurrent research concerning the repeatability of the joint’s sounds examination in the temporomandibular joints (TMJ) is inconclusive; thus, the aim of this study was to investigate the repeatability of the specific features of the vibroarthrogram (VAG) in the TMJ using accelerometers. The joint sounds of both TMJs were measured with VAG accelerometers in two groups, study and control, each consisting of 47 participants (<i>n</i> = 94). Two VAG recording sessions consisted of 10 jaw open/close cycles guided by a metronome. The intraclass correlation coefficient (ICC) was calculated for seven VAG signal features. Additionally, a k-nearest-neighbors (KNN) classifier was defined and compared with a state-of-the-art method (joint vibration analysis (JVA) decision tree). ICC indicated excellent (for the integral below 300 Hz feature), good (total integral, integral above 300 Hz, and median frequency features), moderate (integral below to integral above 300 Hz ratio feature) and poor (peak amplitude feature) reliability. The accuracy scores for the KNN classifier (up to 0.81) were higher than those for the JVA decision tree (up to 0.60). The results of this study could open up a new field of research focused on the features of the vibroarthrogram in the context of the TMJ, further improving the diagnosing process.https://www.mdpi.com/1424-8220/22/23/9542vibroarthrographyVAGjoint vibration analysisJVAtemporomandibular disordersTMD |
| spellingShingle | Adam Łysiak Tomasz Marciniak Dawid Bączkowicz Repeatability of the Vibroarthrogram in the Temporomandibular Joints Sensors vibroarthrography VAG joint vibration analysis JVA temporomandibular disorders TMD |
| title | Repeatability of the Vibroarthrogram in the Temporomandibular Joints |
| title_full | Repeatability of the Vibroarthrogram in the Temporomandibular Joints |
| title_fullStr | Repeatability of the Vibroarthrogram in the Temporomandibular Joints |
| title_full_unstemmed | Repeatability of the Vibroarthrogram in the Temporomandibular Joints |
| title_short | Repeatability of the Vibroarthrogram in the Temporomandibular Joints |
| title_sort | repeatability of the vibroarthrogram in the temporomandibular joints |
| topic | vibroarthrography VAG joint vibration analysis JVA temporomandibular disorders TMD |
| url | https://www.mdpi.com/1424-8220/22/23/9542 |
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