發(fā)布時間：2018-11-18 19:03

【摘要】：近年來,隨著人們生活節(jié)奏的加快及工作壓力的增加,磨牙癥(Bruxism)的發(fā)病率也逐年上升。臨床醫(yī)學中,咀嚼肌表面肌電信號(Surface Electromyography,s EMG)被認為是反映磨牙癥最有效的信號,這為磨牙癥治療方法的探索提供了新的科學途徑。本文在充分了解磨牙癥監(jiān)測與診斷現(xiàn)狀的基礎上,基于便攜式醫(yī)療設備(Portable medical equipment)的理念,設計了一套基于s EMG的磨牙癥監(jiān)測與輔助診斷系統(tǒng)。該系統(tǒng)不僅避免了多導睡眠記錄儀體積大、導聯(lián)線較多對患者睡眠的影響,還可動態(tài)、實時監(jiān)測患者睡眠時的咀嚼肌活動狀態(tài),存儲采集到的信號經(jīng)數(shù)據(jù)處理后方便醫(yī)生對患者的病情進行分析。論文的主要工作包括:(1)根據(jù)本文研究的s EMG信號的特點,選擇Ag/Agcl電極作為采集電極,設計了對模擬信號進行預處理的調(diào)理電路,測試表明該電路的穩(wěn)定度好且準確度高,可有效地獲取人體皮膚表面肌電信號。(2)根據(jù)系統(tǒng)對數(shù)據(jù)采集、處理、顯示、傳輸?shù)囊?選擇STM32F103RCT6作為微控制芯片,設計并實現(xiàn)了集上述功能為一體的采集系統(tǒng),實現(xiàn)了表面肌電信號實時同步監(jiān)測、數(shù)據(jù)處理、動作識別、波形顯示、數(shù)據(jù)存儲及無線通訊。(3)開發(fā)了基于Android系統(tǒng)的手機軟件,實現(xiàn)了來自Hc-05藍牙模塊數(shù)據(jù)的接收、顯示以及保存功能,設置了報警提示,無線傳輸實驗驗證了設計的手機軟件實現(xiàn)數(shù)據(jù)傳輸?shù)臏蚀_性。(4)提出了基于s EMG的磨牙癥識別算法,能夠準確識別咀嚼肌活動段的磨牙信號。最后,設計并完成了人體磨牙模擬實驗,對所開發(fā)的基于s EMG磨牙癥輔助診斷系統(tǒng)的可行性進行了驗證和修正。本課題不僅在磨牙癥的監(jiān)測和診斷方面具有獨特的應用價值,而且在探索磨牙癥病因以及有效治療辦法方面有著重要的作用。通過以后的逐步完善有望應用于臨床,此外,該項技術也可以為非醫(yī)學領域的s EMG監(jiān)測提供一種新途徑。
[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.
【學位授予單位】：南京航空航天大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：R781.9;TN911.7

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