Gao Jinxia, Zhou Huazheng, Liu Longjun
Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, Shaanxi, China; Department of Prothodontics, College of Stomatology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
School of Software Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Int Dent J. 2025 May 3;75(4):100799. doi: 10.1016/j.identj.2025.03.008.
The abnormal bite force plays a crucial role in triggering oral diseases. Currently, the field of bite force remains largely unexplored despite its immense potential. Previous studies have documented various devices for detecting bite force; however, there is a scarcity of corresponding visual applications to facilitate accurate diagnosis and treatment. Therefore, the purpose of this study is to design a smartphone application for intelligent detection of oral bite force.
This study has developed an intelligent program software for analyzing bite force detection, which encompassing modules such as introduction, environment setup, data reception and transmission, analysis processing, installation and uninstallation, as well as user instructions. Bluetooth wireless transmission has been utilized to transmit, store, and analyze bite simulation data.
The developed application has presented sensor data in the form of single or multiple line graphs, assisting dentists in the diagnosis and treatment of oral diseases. Additionally, this program application provided feedback by detecting collected data and utilizing various output modes based on pre-set threshold values to prompt patients for self-correction, thereby achieving biofeedback regulation.
This intelligent application was designed to provide dentists with real-time monitoring, intelligent feedback, and effective intervention of bite force in their clinical practice.
By achieving a dynamic equilibrium between bite force and the oral maxillofacial system, it aims to enhance disease diagnosis and treatment to a quantitative, controllable, and predictable level.
异常咬合力在引发口腔疾病中起着关键作用。目前,尽管咬合力领域潜力巨大,但仍 largely 未被探索。以往研究记录了各种检测咬合力的装置;然而,缺乏相应的视觉应用来促进准确的诊断和治疗。因此,本研究的目的是设计一款用于智能检测口腔咬合力的智能手机应用程序。
本研究开发了一个用于分析咬合力检测的智能程序软件,它涵盖了诸如介绍、环境设置、数据接收与传输、分析处理、安装与卸载以及用户说明等模块。利用蓝牙无线传输来传输、存储和分析咬合力模拟数据。
所开发的应用程序以单一线图或多线图的形式呈现传感器数据,协助牙医进行口腔疾病的诊断和治疗。此外,该程序应用通过检测收集到的数据并根据预设阈值利用各种输出模式提供反馈,以促使患者进行自我纠正,从而实现生物反馈调节。
这款智能应用程序旨在为牙医在临床实践中提供咬合力的实时监测、智能反馈和有效干预。
通过在咬合力与口腔颌面系统之间实现动态平衡,旨在将疾病诊断和治疗提升到定量、可控和可预测的水平。