Intelligent Occlusion Stabilization Splint with Stress-Sensor System for Bruxism Diagnosis and Treatment
Jinxia Gao,1,2,*Longjun Liu,3,*Peng Gao,3Yihuan Zheng,3 Wenxuan Hou,3 and Junhui Wang3
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Abstract
Reference
Intelligent Occlusion Stabilization Splint with Stress-Sensor System for Bruxism Diagnosis and Treatment (embed link to PMC article location).
Intelligent Occlusion Stabilization Splint with Stress-Sensor System for Bruxism Diagnosis and Treatment (embed link to original article location, if available).
PMC6982910 (Ref ID)
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Title: Summary of Research Paper on “Intelligent Occlusion Stabilization Splint with Stress-Sensor System for Bruxism Diagnosis and Treatment”
I. IntroductionThe research paper focuses on the development of an intelligent occlusion stabilization splint with a stress-sensor system for the diagnosis and treatment of bruxism. Bruxism is a common dental problem with no specific guidelines for diagnosis and treatment. The paper aims to investigate a real-time, quantitative, and precise force-based biofeedback detection device using artificial intelligence algorithms. The significance of the research lies in the potential of this system to improve the diagnosis and treatment of bruxism.
II. MethodologyThe study employs an interdisciplinary approach that combines dentistry and engineering concepts. The research design involves the integration of stress sensors into a resin-based occlusion stabilization splint using a layering technique. The sensor system consists of a pressure signal acquisition module, a main control module, and a server terminal. Data collection is carried out through the sensor prototype system, and machine learning algorithms are used for data processing and parameter configuration. Limitations of the study include the need for further evaluation of each component of the intelligent splint.
III. ResultsThe key findings of the research demonstrate the feasibility of the proposed scheme for bruxism treatment. The experiment results show reasonable parameter metrics for the sensor system, highlighting the potential of the intelligent occlusion stabilization splint with the stress sensor system for bruxism diagnosis and treatment. Statistical analyses provide support for the effectiveness of the system in monitoring occlusal changes and providing real-time tracking for self-care.
IV. DiscussionThe results are analyzed and interpreted in relation to the research question and objectives. The implications of the study's findings are discussed, emphasizing the potential of the intelligent splint for improving bruxism diagnosis and treatment. The significance lies in the development of a portable, intelligent, and precise force-based bruxism feedback detection system. The discussion also addresses limitations such as the need for further research to validate the system's effectiveness and explores potential avenues for future research.
V. ConclusionIn conclusion, the research paper presents an intelligent occlusion stabilization splint with a stress-sensor system as a promising approach for bruxism diagnosis and treatment. The study demonstrates the feasibility and effectiveness of the system in monitoring occlusal changes and providing real-time feedback. The contribution of the research lies in the development of a portable, intelligent, and precise force-based biofeedback device that can improve the diagnosis and treatment of bruxism. Further research and evaluation are warranted to fully validate the system's potential and address any limitations identified.
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