Abstract
Temporomandibular disorder (TMD) is a common musculoskeletal disease in the oral and maxillofacial regions. It is a complex syndrome mainly characterized by pain, popping, and abnormal joint movement in the temporomandibular joint area of the affected side. The masticatory muscle, temporomandibular joint, and related structures are involved. The pathogenesis of masticatory muscle, temporomandibular joint, and related structures is still unclear. As a wearable device with high social acceptance and widespread use, we designed a customized frame for glasses to monitor temporomandibular chewing movement data collection and generate a learning model. The temporomandibular joint disorder database was constructed to assist stomatologists in diagnosis and to help customize personalized precision treatment models for patients. We propose MyCmp to capture chewing signals and achieve accurate temporomandibular joint chewing data collection by combining piezoelectric sensors and motion sensors. We also propose a practical method that combines temporomandibular joint disorders with artificial intelligence, and we designed test experiments to evaluate the practical application of MyCmp. It is our hope that the development and use of MyCmp can benefit patients with TMJ disorders.
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