journal article·2025-07-16Open access

3D-Printed Helmet for Electromagnetic Articulograph Applied in the Study of Oral Physiology

Franco Marinelli, Francisco Andrés Escobar Jara, Camila Venegas-Ocampo, Josefa Alarcón, Giannina Álvarez, Gloria Cifuentes-Suazo, Marcela Jarpa-Parra, Pablo Navarro, Gladys Morales, Ramón Fuentes Fernández

Applied Sciences· Volume 15· Issue 14

Abstract

Electromagnetic articulography is a technique developed for recording three-dimensional movements. It is based on magnetic induction, where small currents are induced in miniature receiver coils acting as motion sensors by means of electromagnetic fields generated by transmitter coils. This technology has been applied in dental research to record mandibular movements during mastication, Posselt’s envelope of motion, and micromovements of dental prostheses. The AG501 electromagnetic articulograph (Carstens Medizinelektronik GmbH, Bovenden, Germany) provides a Head Correction (HC) procedure to eliminate head movement, which requires the reference sensors to be firmly attached to the subject’s head. If the sensors shift during the recordings, it becomes necessary to reposition them and repeat the head correction procedure. The aim of this study was to develop a 3D-printed helmet to securely fix the reference sensors to the head of a subject in the context of performing a series of recordings involving the mastication of 36 foods and the execution of Posselt’s envelope of motion. The number of HCs required was recorded for a group using the helmet and for a control group in which the sensors were attached to the subject’s head using tissue adhesive. A total of 29 recordings were conducted with and without the helmet. Without the helmet 44 HCs were required; on the other hand, with the helmet 36 HCs were required. On average, 1.5 HCs were required per session without the helmet and 1.2 HCs with the helmet, showing a non-significant difference (p < 0.05). A reduction in the number of HCs required per session was observed. However, more than one HC was still needed to complete a session. This could be addressed in future research by designing a series of helmets that adapt to different head sizes.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Temporomandibular Joint Disorders · dental development and anomalies · Dental Radiography and Imaging

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Research Centre in Dental Sciences (CICO-UFRO), Dental School, Facultad de Odontología, Universidad de La Frontera, Temuco 4811230, Chile

Faculty of Health Sciences, Universidad Autónoma de Chile, Temuco 4810101, Chile

Department of Computer Science and Informatics, Universidad de La Frontera, Temuco 4811230, Chile

Núcleo de Investigación en Ciencias de la Salud, Universidad Adventista de Chile, Chillán 3780000, Chile

Doctoral Program in Morphological Sciences, Faculty of Medicine, Universidad de La Frontera, Temuco 4811230, Chile

Department of Integral Adults Dentistry, Dental School, Facultad de Odontología, Universidad de La Frontera, Temuco 4811230, Chile

Master’s Program in Dentistry, Dental School, Universidad de La Frontera, Temuco 4811230, Chile

Agro-Food Research Center and Vegetable Protein Laboratory, Universidad Adventista de Chile, Chillán 3780000, Chile

Department of Public Health, Faculty of Medicine, Universidad de La Frontera, Temuco 4811230, Chile

Center for Research in Cardiovascular and Nutritional Epidemiology, (EPICYN), Universidad de La Frontera, Temuco 4811230, Chile

Funding

Fondecyt

References (40)

Show source-provided references
1. Chou, T.-H., Liao, S.-W., Huang, J.-X., Huang, H.-Y., Vu-Dinh, H., and Yau, H.-T. (2023). Virtual Dental Articulation Using Computed Tomography Data and Motion Tracking. Bioengineering, 10.10.3390/bioengineering10111248 ↗
2. Tecco, S., Nota, A., Pittari, L., Clerici, C., Mangano, F., and Gherlone, E.F. (2023). Full-Digital Workflow for TMDs Management: A Case Series. Healthcare, 11.10.3390/healthcare11060790 ↗
3. Silva, J., Azevedo, A., Martins, E., Canabez, A., Martin, D., and Martin, C. (2025). Mandibular Kinematics on an Orthodontic Population Assessed with an Optical Jaw Tracking System: A Comparative Study. Dent. J., 13.10.3390/dj13050184 ↗
4. Tăut, M., Chanteux, S., Kui, A., Buduru, R., Negucioiu, M., Manziuc, M., Gheorghiu, I., Hedeșiu, M., Buduru, S., and Ilea, A. (2024). Condylar Parameters and Mandibular Movement Patterns in Bruxers Using an Optical Jaw Tracking System. J. Clin. Med., 13.10.3390/jcm13247761 ↗
5. Nakayama, E., Tohara, H., Kimura, M., Koide, I., Abe, K., and Yonenaga, K. (2024). Effect of Cognitive Decline on Mandibular Movement during Mastication in Nursing Home Residents. J. Clin. Med., 13.10.3390/jcm13206040 ↗
6. Correlation of Instrumental Texture Properties from Textural Profile Analysis (TPA) with Eating Behaviours and Macronutrient Composition for a Wide Range of Solid Foods10.1039/C8FO00791H ↗
7. Yang, X., Doulah, A., Farooq, M., Parton, J., McCrory, M.A., Higgins, J.A., and Sazonov, E. (2019). Statistical Models for Meal-Level Estimation of Mass and Energy Intake Using Features Derived from Video Observation and a Chewing Sensor. Sci. Rep., 9.10.1038/s41598-018-37161-x ↗
8. TMJ Symptoms Reduce Chewing Amplitude and Velocity, and Increase Variability10.1080/08869634.2017.1365421 ↗
9. Piancino, M.G., Tortarolo, A., Di Benedetto, L., Crincoli, V., and Falla, D. (2022). Chewing Patterns and Muscular Activation in Deep Bite Malocclusion. J. Clin. Med., 11.10.3390/jcm11061702 ↗
10. Functional Differences between Chewing Sides of Implant-Supported Denture Wearers10.3390/prosthesis5020025 ↗
11. D’Attilio, M., Di Carlo, B., Caroccia, F., Moscagiuri, F., d’Angelo, D.M., Chiarelli, F., Festa, F., and Breda, L. (2021). Clinical and Instrumental TMJ Evaluation in Children and Adolescents with Juvenile Idiopathic Arthritis: A Case—Control Study. Appl. Sci., 11.10.3390/app11125380 ↗
12. Sato, R., Kodama, S., Okawa, J., Murakami, K., Ono, T., and Hori, K. (2024). Tongue and Jaw Movement Assessed by 3D Motion Capture during Gum Chewing. Front. Physiol., 15.10.3389/fphys.2024.1409005 ↗
13. Quantification of Translational and Gliding Components in Human Temporomandibular Joint during Mouth Opening10.1016/j.archoralbio.2004.10.002 ↗
14. Evaluation of Mandibular Movement Functions Using Instrumental Ultrasound System: Mandibular Movement Analysis10.1111/jopr.12389 ↗
15. Physiological State of Occlusal Orthotics and the Diagnosis of Myogenous Orofacial Pain in Reducing TMD Headaches and Other Symptoms10.17352/2394-8418.000083 ↗
16. Electromagnetic Articulography (EMA) for Real-Time Feedback Application: Computational Techniques10.1080/21681163.2018.1434423 ↗
17. A Review of Data Collection Practices Using Electromagnetic Articulography10.5334/labphon.237 ↗
18. Accuracy and Precision of a Custom Camera-Based System for 2-D and 3-D Motion Tracking During Speech and Nonspeech Motor Tasks10.1044/2014_JSLHR-S-13-0007 ↗
19. Tongue and Lip Acceleration as a Measure of Speech Decline in Amyotrophic Lateral Sclerosis10.1159/000525514 ↗
20. Using Electromagnetic Articulography with a Tongue Lateral Sensor to Discriminate Manner of Articulation10.1121/1.4973907 ↗
21. Cineradiographic Examination of Articulatory Movement of Pseudo-Tongue, Hyoid, and Mandible in Congenital Aglossia10.1177/1525740114523310 ↗
22. Fluoroscopic Evaluation of Tongue and Jaw Movements During Mastication in Healthy Humans10.1007/s00455-013-9453-1 ↗
23. Mozaffari, M.H., Guan, S., Wen, S., Wang, N., and Lee, W.-S. (2018, January 12–13). Guided Learning of Pronunciation by Visualizing Tongue Articulation in Ultrasound Image Sequences. Proceedings of the 2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), Ottawa, ON, Canada.10.1109/CIVEMSA.2018.8440000 ↗
24. McAllister, T., Preston, J.L., Hitchcock, E.R., and Hill, J. (2020). Protocol for Correcting Residual Errors with Spectral, ULtrasound, Traditional Speech Therapy Randomized Controlled Trial (C-RESULTS RCT). BMC Pediatr., 20.10.1186/s12887-020-1941-5 ↗
25. Molnár, V., Lakner, Z., Molnár, A., Tárnoki, D.L., Tárnoki, Á.D., Kunos, L., Jokkel, Z., and Tamás, L. (2022). Ultrasound and Magnetic Resonance Imaging of the Tongue in Obstructive Sleep Apnoea. Appl. Sci., 12.10.3390/app12199583 ↗
26. Análisis Cinemático de La Masticación de Alimentos Duros y Blandos En Participantes Dentados Utilizando Articulografía Electromagnética 3D10.4067/S0717-95022021000300935 ↗
27. Description of Acoustic and Articulatory Parameters of Vowels in Mapudungun Speakers. Pilot Study10.4067/S0718-381X2020000200205 ↗
28. Álvarez, G., Dias, F.J., Lezcano, F., Arias, A., Navarro, P., and Fuentes, R. (2020). Description of Tongue Movements on Swallowing Patterns. Arch. Oral Biol., 113.10.1016/j.archoralbio.2020.104706 ↗
29. Marinelli, F., Venegas, C., Ruiz, J.V., Farfán-Beltrán, N., Staub, E., Navarro, P., Alarcón-Apablaza, J., and Fuentes, R. (2024). Determination of Micromovements in Removable Prosthesis during Mastication: A Pilot Study with 3D Electromagnetic Articulography. Bioengineering, 11.10.3390/bioengineering11030229 ↗
30. Chen, D., Yin, S., Lu, X., Fu, H., Gao, H., and Zhang, S. (2024). Research on the Correlation Between Skin Elasticity Evaluation Parameters and Age. Cosmetics, 11.10.3390/cosmetics11060205 ↗
31. Rostkowska, E., Poleszak, E., Wojciechowska, K., and Dos Santos Szewczyk, K. (2023). Dermatological Management of Aged Skin. Cosmetics, 10.10.3390/cosmetics10020055 ↗
32. Generalized Procrustes Analysis10.1007/BF02291478 ↗
33. Extensions of the Procrustes Method for the Optimal Superimposition of Landmarks10.2307/2992207 ↗
34. Ekdahl, M., Ulman, S., and Butler, L. (2024). Relationship of Knee Abduction Moment to Trunk and Lower Extremity Segment Acceleration during Sport-Specific Movements. Sensors, 24.10.3390/s24051454 ↗
35. Wang, J., Green, J.R., Samal, A., and Carrell, T.D. (2010, January 13–15). Vowel Recognition from Continuous Articulatory Movements for Speaker-Dependent Applications. Proceedings of the 2010 4th International Conference on Signal Processing and Communication Systems, Gold Coast, Australia.10.1109/ICSPCS.2010.5709716 ↗
36. Wang, J., Green, J.R., Samal, A., and Marx, D.B. (2011, January 27–31). Quantifying Articulatory Distinctiveness of Vowels. Proceedings of the Interspeech, Florence, Italy.10.21437/Interspeech.2011-109 ↗
37. Marinelli, F., Venegas, C., Pirce, F., Del Carmen Silva Celedón, J., Navarro, P., Jarpa-Parra, M., and Fuentes, R. (2024). Hardness Analysis of Foods in a Diet Based on the Mediterranean Diet and Adapted to Chilean Gastronomy. Foods, 13.10.3390/foods13193061 ↗
38. Lezcano, M.F., Dias, F., Farfán-Beltrán, N., Manzanares-Céspedes, M.C., Cerda, C., and Fuentes, R. (2023). Synchronization of Surface Electromyography and 3D Electromagnetic Articulography Applied to Study the Biomechanics of the Mandible: Proof of Concept. Appl. Sci., 13.10.3390/app13105851 ↗
39. Estimating Mandibular Motion Based on Chin Surface Targets During Speech10.1044/1092-4388(2007/066) ↗
40. Valevicius, A., Bushey, K., and Jenkyn, T. (2024). Validation of a Multi-Segment Kinematic Foot Model and Optical Motion Capture Using Bi-Planar X-Ray Fluoroscopy and a Markerless RSA Approach. Appl. Sci., 14.10.3390/app142311285 ↗