本文選題：磨牙癥 + 傳感器　； 參考：《山西醫(yī)科大學(xué)》2017年碩士論文

【摘要】：目的:為探究磨牙癥的監(jiān)測方法,運(yùn)用非接觸型無線傳輸監(jiān)測系統(tǒng),采集磨牙癥患者睡眠狀態(tài)下磨牙時(shí)下頜骨振動(dòng)產(chǎn)生的生物信號,分析其特征及與睡眠周期的關(guān)系,為磨牙癥啟動(dòng)及結(jié)束機(jī)理提供依據(jù)。方法:篩選符合標(biāo)準(zhǔn)的夜磨牙癥受試者20例,應(yīng)用非接觸型無線傳輸監(jiān)測系統(tǒng)連續(xù)監(jiān)測3日,監(jiān)測裝置于受試者枕下采集磨牙時(shí)下頜骨振動(dòng)的生物信號,經(jīng)可折疊線纜與主體控制器連接,內(nèi)部完成A/D轉(zhuǎn)換成數(shù)字電信號,并進(jìn)行數(shù)據(jù)儲(chǔ)存,安裝手機(jī)(Application APP)綁定設(shè)備藍(lán)牙,完成監(jiān)測設(shè)備的wifi配置,與云端建立鏈接,上傳數(shù)據(jù)至手機(jī)及云端,電腦APP下載處理分析每日數(shù)據(jù);監(jiān)測的同時(shí)開啟錄音設(shè)備,采集受試者整夜睡眠時(shí)聲音信號,分別提取同一時(shí)間相對應(yīng)的磨牙聲音信號及振動(dòng)信號,作為聲譜組及振動(dòng)組,記錄每日總磨牙時(shí)間、最長磨牙時(shí)間、整夜磨牙頻率及睡眠周期,以聲音信號為基準(zhǔn)運(yùn)用統(tǒng)計(jì)學(xué)方法驗(yàn)證該監(jiān)測方法的穩(wěn)定性及一致性。結(jié)果:1.獲得受試者每晚睡眠狀態(tài)下的原始波形曲線,依此設(shè)計(jì)濾波算法得到過濾處理后的磨牙波形曲線,分析整理得到整夜磨牙頻率、磨牙時(shí)間、運(yùn)動(dòng)幅值;2.配對t檢驗(yàn)分析:聲譜組和振譜組受試者每日總磨牙時(shí)間及最長磨牙時(shí)間相比,兩組間差異無統(tǒng)計(jì)學(xué)意義(P0.05);3.聲譜組和振譜組每日整夜磨牙頻率相比無顯著差異(p0.05),兩組具有較高的一致性;4.聲譜組及振譜組3日的總磨牙時(shí)間及最長磨牙時(shí)間(各60對數(shù)據(jù))配對t檢驗(yàn)無統(tǒng)計(jì)學(xué)意義(p0.05),且經(jīng)一致性檢驗(yàn)Bland-Altman分析:每組僅有2/(60)3.3%個(gè)點(diǎn)位于95%一致性界限外,兩組具有較高的一致性;5.亦可分析出每晚睡眠狀態(tài)下睡眠周期、心率及體動(dòng)變化指示圖,尚無規(guī)律可尋,有待于擴(kuò)展病例繼續(xù)深入研究;6.依據(jù)睡眠周期變化指示圖,測得20例受試者每日磨牙事件主要集中于(Rapid eye movement REM)期及淺睡眠期。結(jié)論:1.非接觸型磨牙癥監(jiān)測系統(tǒng)實(shí)現(xiàn)了磨牙信息的數(shù)字化表達(dá)與信息存儲(chǔ)分析,攜帶便捷;2.針對睡眠狀態(tài)下磨牙時(shí)下頜骨振動(dòng)信號進(jìn)行監(jiān)測,為監(jiān)測研究磨牙癥的啟動(dòng)及結(jié)束機(jī)理提了提供了新的方法;3.與聲音信號相比一致性較高,且二者的波性特征均表現(xiàn)為“雙峰波”,說明本監(jiān)測系統(tǒng)不僅提供了穩(wěn)定的監(jiān)測結(jié)果而且可靠性較大。
[Abstract]:Objective: to investigate the monitoring method of molars, a non-contact wireless transmission monitoring system was used to collect the biological signals produced by mandibular vibration of molars during sleep in patients with molars, and to analyze the relationship between the characteristics and sleep cycles. To provide the basis for the initiation and ending mechanism of molars. Methods: twenty patients with night-molar disease were selected and monitored by non-contact wireless transmission monitoring system for 3 consecutive days. The monitoring device collected the biological signals of mandibular vibration under the occipital. After the folding cable is connected to the main controller, the internal Ar / D is converted into digital electrical signal, and data is stored, the mobile phone application app) binding device is installed, the wifi configuration of the monitoring device is completed, and the link with the cloud is established. Upload data to mobile phone and cloud, download and analyze daily data by computer app, turn on recording equipment while monitoring, collect sound signals of subjects sleeping all night, extract corresponding sound signals and vibration signals of molars at the same time. As acoustic spectrum group and vibration group, the total molar time, the longest molar time, the frequency of molars all night and the sleep cycle were recorded. The stability and consistency of the method were verified by statistical method based on sound signal. The result is 1: 1. The original waveform curve of the subjects under the condition of sleep every night was obtained, and the filtering algorithm was designed to get the waveform curve of the molars after filtering. The frequency of the molars, the time of the molars and the amplitude of motion were obtained by analyzing and arranging the waveforms of the molars after filtering. Paired t-test analysis: the total molar time and the longest molar time of the subjects in the sonographic group and the vibrational group were not significantly different between the two groups (P 0.05). There was no significant difference in the frequency of molars between the sonographic group and the vibrational spectrum group (P 0.05), and there was a high consistency between the two groups. The total molar time and the longest molar time (60 pairs of data each) in the sonographic group and the vibratory spectrum group had no statistical significance (p 0.05), and the Bland-Altman analysis showed that only 2 / 60 points were located outside the 95% consistency limit in each group, and Bland-Altman analysis showed that the total molar time and the longest molar time (60 pairs of data) in each group were above the 95% consistency limit. The two groups had high consistency. It can also be used to analyze the indicators of sleep cycle, heart rate and body movement under the condition of sleep every night, but there is no regular pattern to be found, which needs to be further studied in extended cases. According to the indicator diagram of sleep cycle change, the daily molar events in 20 subjects were mainly concentrated in the rapid eye movement period and the shallow sleep stage. Conclusion 1. The monitoring system of non-contact molars realizes the digital expression and information storage of molars, which is easy to carry. Monitoring the vibration signal of mandible during sleep provides a new method for monitoring the initiation and ending mechanism of molars. Compared with sound signals, the characteristics of both of them are "bimodal waves", which indicates that this monitoring system not only provides stable monitoring results, but also has greater reliability.
【學(xué)位授予單位】：山西醫(yī)科大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：R781.2;R318.0

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