發(fā)布時(shí)間：2018-05-11 05:37

  本文選題：激光聲音偵聽技術(shù) + 睡眠呼吸聲音��； 參考：《山西醫(yī)科大學(xué)》2017年碩士論文

【摘要】：第一部分激光聲音偵聽技術(shù)對(duì)睡眠呼吸音監(jiān)測(cè)的初步研究目的:應(yīng)用激光聲音偵聽技術(shù)對(duì)夜間睡眠呼吸音進(jìn)行監(jiān)測(cè),通過對(duì)呼吸音的分析及與床墊式睡眠呼吸監(jiān)測(cè)系統(tǒng)(RS-611型)所監(jiān)測(cè)結(jié)果進(jìn)行比對(duì),探索該技術(shù)監(jiān)測(cè)睡眠呼吸暫停綜合征(SAS)的可行性及應(yīng)用效果。方法:1.選取2017年1月4日至2017年1月19日在中國(guó)人民解放軍總醫(yī)院(301醫(yī)院)睡眠呼吸監(jiān)測(cè)中心進(jìn)行睡眠呼吸監(jiān)測(cè)的11例患者作為研究對(duì)象,通過詢問病史,對(duì)研究對(duì)象的基本信息如年齡、性別、身高、體重等指標(biāo)進(jìn)行采集。11例研究對(duì)象中男性10例、女性1例,平均年齡為44.9±8.37歲,平均身高171.9±7.89厘米(cm),平均體重88.8±16.1千克(kg),平均體質(zhì)指數(shù)30±4.47 kg/m~2。2.對(duì)11例研究對(duì)象通過配對(duì)樣本設(shè)計(jì)的方法,用激光聲音偵聽技術(shù)和床墊式睡眠呼吸監(jiān)測(cè)系統(tǒng)同時(shí)采集同一研究對(duì)象夜間7小時(shí)睡眠期間的相關(guān)數(shù)據(jù)。3.通過床墊式睡眠呼吸監(jiān)測(cè)系統(tǒng)監(jiān)測(cè)睡眠呼吸暫停低通氣總次數(shù)、睡眠呼吸暫停最長(zhǎng)時(shí)間和總次數(shù)以及睡眠呼吸低通氣最長(zhǎng)時(shí)間和總次數(shù)。4.通過激光聲音偵聽技術(shù)采集研究對(duì)象夜間睡眠期間的呼吸音,應(yīng)用Goldwave軟件對(duì)呼吸音信號(hào)分析處理,獲得睡眠事件的相關(guān)參數(shù)。5.將激光聲音偵聽技術(shù)與床墊式睡眠呼吸監(jiān)測(cè)系統(tǒng)所獲得的相應(yīng)數(shù)據(jù)通過統(tǒng)計(jì)學(xué)中秩和檢驗(yàn)的方法進(jìn)行對(duì)比分析。結(jié)果:1.兩種方法監(jiān)測(cè)所得的睡眠呼吸暫停低通氣總次數(shù)相比較,差異無統(tǒng)計(jì)學(xué)意義(P0.05)。2.兩種方法監(jiān)測(cè)的睡眠呼吸暫停最長(zhǎng)時(shí)間比較,差異無統(tǒng)計(jì)學(xué)意義(P0.05)。兩種方法監(jiān)測(cè)的睡眠呼吸暫�？偞螖�(shù)比較,差異無統(tǒng)計(jì)學(xué)意義(P0.05)。3.兩種方法監(jiān)測(cè)的睡眠呼吸低通氣最長(zhǎng)時(shí)間比較,差異有統(tǒng)計(jì)學(xué)意義(P0.05)。兩種方法監(jiān)測(cè)的睡眠呼吸低通氣總次數(shù)比較,差異有統(tǒng)計(jì)學(xué)意義(P0.05)。結(jié)論:1.激光聲音偵聽技術(shù)可實(shí)現(xiàn)對(duì)患者睡眠期間的呼吸音進(jìn)行全程記錄并量化分析。2.應(yīng)用激光聲音偵聽技術(shù)通過對(duì)患者睡眠期間呼吸音的持續(xù)監(jiān)測(cè)及分析,可以反映患者睡眠呼吸暫停低通氣的總次數(shù)、睡眠呼吸暫停最長(zhǎng)時(shí)間及總次數(shù)等睡眠呼吸事件的發(fā)生情況。3.應(yīng)用激光聲音偵聽技術(shù)通過對(duì)患者睡眠期間呼吸音的持續(xù)監(jiān)測(cè)及分析,其結(jié)果與床墊式睡眠呼吸監(jiān)測(cè)系統(tǒng)的結(jié)果基本一致。4.與床墊式睡眠呼吸監(jiān)測(cè)系統(tǒng)相比,激光聲音偵聽技術(shù)監(jiān)測(cè)睡眠呼吸低通氣更為敏感。第二部分激光聲音偵聽技術(shù)與床墊式睡眠呼吸監(jiān)測(cè)系統(tǒng)監(jiān)測(cè)SAS有效性的比較目的:通過比較激光聲音偵聽技術(shù)和床墊式睡眠呼吸監(jiān)測(cè)系統(tǒng)對(duì)SAS監(jiān)測(cè)結(jié)果的有效性,為SAS的診斷提供一種簡(jiǎn)單而全新的思路和技術(shù)。方法:1.選取2017年2月6日至2017年2月20日在中國(guó)人民解放軍總醫(yī)院(301醫(yī)院)睡眠呼吸監(jiān)測(cè)中心進(jìn)行睡眠呼吸監(jiān)測(cè)的10例患者作為研究對(duì)象,10例研究對(duì)象為既往確診SAS或此后經(jīng)床墊式睡眠呼吸監(jiān)測(cè)系統(tǒng)證實(shí)為SAS,通過詢問病史,對(duì)研究對(duì)象的基本信息如年齡、性別、身高、體重等指標(biāo)進(jìn)行采集。10例研究對(duì)象都是男性,平均年齡52.6±9.83歲,平均身高171.5±5.42cm,平均體重88.1±9.18kg,平均體質(zhì)指數(shù)30±2.93kg/m~2。2.將研究對(duì)象隨機(jī)分為兩組,試驗(yàn)組采用激光聲音偵聽技術(shù)采集研究對(duì)象夜間睡眠期間的呼吸音,應(yīng)用Goldwave軟件對(duì)呼吸音信號(hào)進(jìn)行分析處理,獲得睡眠事件的相關(guān)參數(shù);對(duì)照組采用床墊式睡眠呼吸監(jiān)測(cè)系統(tǒng)監(jiān)測(cè),分別采集夜間7小時(shí)睡眠事件。3.將兩組數(shù)據(jù)經(jīng)過統(tǒng)計(jì)學(xué)中Fisher確切概率法進(jìn)行對(duì)比分析。結(jié)果:1.10例研究對(duì)象中,試驗(yàn)組共7例,5例監(jiān)測(cè)結(jié)果符合SAS診斷,視為有效,2例診斷結(jié)果不符合SAS診斷,視為無效,有效率71.4%;對(duì)照組共3例,監(jiān)測(cè)結(jié)果均為SAS,均有效,有效率100%。2.將兩組數(shù)據(jù)經(jīng)過Fisher確切概率法進(jìn)行分析,得P=0.534,P0.05,差異無統(tǒng)計(jì)學(xué)意義。結(jié)論:1.激光聲音偵聽技術(shù)具有監(jiān)測(cè)指標(biāo)少,靈敏度高的特點(diǎn)。2.技術(shù)可以用于臨床SAS的監(jiān)測(cè),為睡眠呼吸系統(tǒng)疾病的診斷提供一種簡(jiǎn)便高效的監(jiān)測(cè)新技術(shù)。
[Abstract]:The first part of the study on the monitoring of sleep breathing sound in part 1: the application of laser sound detection technique to monitor night sleep breathing sounds and compare the results of the breathing sound and the monitoring results of the mattress type sleep breathing monitoring system (RS-611 type) to explore the technique for monitoring sleep apnea syndrome The feasibility and application effect of SAS. Methods: 1. to select 11 cases of sleep respiration monitoring in the sleep breathing monitoring center of General Hospital of PLA from January 4, 2017 to January 19, 2017 as the research object. Through inquiring the medical history, the basic information such as age, sex, height, weight and so on were studied. The subjects were 10 male and 1 female, with an average age of 44.9 + 8.37 years, the average height was 171.9 + 7.89 cm (CM), the average body weight was 88.8 + 16.1 kg (kg), and the average body mass index was 30 + 4.47 kg/m~2.2. to 11 cases, using the method of paired sample design, using laser sound listening technique and mattress sleep breathing monitoring. The system also collected data of the same subjects during the night 7 hours sleep during the night..3. monitored the total number of sleep apnea hypopnea through the mattress sleep monitoring system, the longest time and total number of sleep apnea, the longest time and total number of sleep breathing hypopnea, and.4. were collected by the laser sound detection technique. The respiratory sound during night sleep was used to analyze the respiratory sound signal by Goldwave software and obtain the related parameter.5. of sleep events. The corresponding data obtained by the laser sound listening technique and the mattress sleep breathing monitoring system were compared and analyzed by the method of rank and test in statistics. Results: 1. methods were monitored. There was no significant difference in the total number of sleep apnea hypopnea (P0.05).2. two methods monitored for the longest sleep apnea, the difference was not statistically significant (P0.05). There was no significant difference between the two methods of monitoring the total number of sleep apnea (P0.05).3. two methods of monitoring sleep breathing. The difference was statistically significant (P0.05). The difference of total number of sleep breathing hypoventilation by two methods was statistically significant (P0.05). Conclusion: 1. laser sound detection technique can be used to record and quantify the respiratory sound during sleep and quantitative analysis of the.2. application of laser sound detection. The continuous monitoring and analysis of the respiratory sound during sleep can reflect the total number of sleep apnea hypopnea, the longest time and the total number of sleep apnea,.3. application of the laser sound detection technique through continuous monitoring and analysis of the respiratory sound during the sleep of the patient. The results of the mattress sleep breathing monitoring system are basically consistent with the.4. and the mattress sleep breathing monitoring system. The laser sound detection technique is more sensitive to the monitoring of sleep breathing hypoventilation. The comparison of the effectiveness of the second part of the laser sound detection and mattress sleep breathing monitoring system for the monitoring of SAS: by comparing laser sound detection The effectiveness of the listening technique and mattress sleep breathing monitoring system for SAS monitoring results provided a simple and new way of thinking and technique for the diagnosis of SAS. 1.: 10 patients were selected from February 6, 2017 to February 20, 2017 in the sleep breathing monitoring center of General Hospital of PLA. Study subjects, 10 subjects were confirmed to be SAS by previous diagnosis of SAS or after the mattress sleep breathing monitoring system. By inquiring the history of the disease, the basic information of the subjects such as age, sex, height, weight and other indexes were all male, the average age was 52.6 + 9.83 years, the average height was 171.5 + 5.42cm, and the average body was 10. The subjects were divided into two groups at 88.1 + 9.18kg and the average body mass index (30 + 2.93kg/m~2.2.). The experimental group used the laser sound detection technique to collect the respiratory sounds during the night sleep. The Goldwave software was used to analyze the respiratory sound signals, and the related parameters of the sleep events were obtained. The control group adopted the mattress sleep call. The monitoring system was monitored, and the night 7 hours sleep event.3. was collected, and two groups of data were compared and analyzed by the exact Fisher probability method in statistics. Results: among the 1.10 subjects, the experimental group was 7 cases, 5 cases were in accordance with the SAS diagnosis, which were considered effective, 2 cases were not consistent with the diagnosis of SAS, and the effective rate was 71.4%; the control group was 71.4%. A total of 3 cases, all the results were SAS, all effective, effective 100%.2., the two groups of data through Fisher accurate probability analysis, P=0.534, P0.05, the difference is not statistically significant. Conclusion: 1. laser acoustic detection technology has less monitoring index, high sensitivity,.2. technology can be used for clinical SAS monitoring, for sleep respiratory system diseases Diagnosis provides a simple and efficient new monitoring technique.

【學(xué)位授予單位】：山西醫(yī)科大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：R766

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