基于表面肌电信号的磨牙症辅助诊断技术研究

发布时间：2018-11-18 19:03

【摘要】：近年来,随着人们生活节奏的加快及工作压力的增加,磨牙症(Bruxism)的发病率也逐年上升。临床医学中,咀嚼肌表面肌电信号(Surface Electromyography,s EMG)被认为是反映磨牙症最有效的信号,这为磨牙症治疗方法的探索提供了新的科学途径。本文在充分了解磨牙症监测与诊断现状的基础上,基于便携式医疗设备(Portable medical equipment)的理念,设计了一套基于s EMG的磨牙症监测与辅助诊断系统。该系统不仅避免了多导睡眠记录仪体积大、导联线较多对患者睡眠的影响,还可动态、实时监测患者睡眠时的咀嚼肌活动状态,存储采集到的信号经数据处理后方便医生对患者的病情进行分析。论文的主要工作包括:(1)根据本文研究的s EMG信号的特点,选择Ag/Agcl电极作为采集电极,设计了对模拟信号进行预处理的调理电路,测试表明该电路的稳定度好且准确度高,可有效地获取人体皮肤表面肌电信号。(2)根据系统对数据采集、处理、显示、传输的要求,选择STM32F103RCT6作为微控制芯片,设计并实现了集上述功能为一体的采集系统,实现了表面肌电信号实时同步监测、数据处理、动作识别、波形显示、数据存储及无线通讯。(3)开发了基于Android系统的手机软件,实现了来自Hc-05蓝牙模块数据的接收、显示以及保存功能,设置了报警提示,无线传输实验验证了设计的手机软件实现数据传输的准确性。(4)提出了基于s EMG的磨牙症识别算法,能够准确识别咀嚼肌活动段的磨牙信号。最后,设计并完成了人体磨牙模拟实验,对所开发的基于s EMG磨牙症辅助诊断系统的可行性进行了验证和修正。本课题不仅在磨牙症的监测和诊断方面具有独特的应用价值,而且在探索磨牙症病因以及有效治疗办法方面有着重要的作用。通过以后的逐步完善有望应用于临床,此外,该项技术也可以为非医学领域的s EMG监测提供一种新途径。
[Abstract]:In recent years, with the acceleration of people's life rhythm and the increase of work pressure, the incidence of molars (Bruxism) is increasing year by year. In clinical medicine, masticatory surface electromyography (Surface Electromyography,s EMG) is considered to be the most effective signal to reflect molar disease, which provides a new scientific way to explore the treatment of molar disease. On the basis of fully understanding the present situation of monitoring and diagnosis of molar disease and based on the idea of portable medical equipment (Portable medical equipment), a monitoring and assistant diagnosis system of molar disease based on s EMG was designed. The system not only avoids the influence of the polysomnography on patients' sleep, but also can monitor the masticatory muscle activity in real time. The stored signal is processed by data to facilitate the doctor to analyze the patient's condition. The main work of this paper is as follows: (1) according to the characteristics of s EMG signal studied in this paper, the Ag/Agcl electrode is selected as the acquisition electrode, and the conditioning circuit for analogue signal preprocessing is designed. The test results show that the circuit has good stability and high accuracy. (2) according to the requirement of data acquisition, processing, display and transmission, STM32F103RCT6 is selected as microcontroller. A collection system with the above functions is designed and implemented. The real-time synchronous monitoring, data processing, action recognition and waveform display of surface EMG signal are realized. Data storage and wireless communication. (3) the mobile phone software based on Android system is developed. The functions of receiving, displaying and saving data from Hc-05 Bluetooth module are realized. Wireless transmission experiments verify the accuracy of the mobile phone software to achieve data transmission. (4) A molar recognition algorithm based on s EMG is proposed, which can accurately identify the molars signal of masticatory muscle moving segment. Finally, the simulation experiment of human molars is designed and completed, and the feasibility of the assistant diagnosis system based on s EMG is verified and corrected. This topic not only has a unique application value in the monitoring and diagnosis of molar disease, but also plays an important role in exploring the etiology and effective treatment of molar disease. It is expected to be used in clinical practice through further improvement. In addition, this technique can also provide a new way for the monitoring of s EMG in non-medical field.
【学位授予单位】：南京航空航天大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：R781.9;TN911.7

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