激光声音侦听技术应用于睡眠呼吸暂停综合征的初步研究
本文选题:激光声音侦听技术 + 睡眠呼吸声音 ; 参考:《山西医科大学》2017年硕士论文
【摘要】:第一部分激光声音侦听技术对睡眠呼吸音监测的初步研究目的:应用激光声音侦听技术对夜间睡眠呼吸音进行监测,通过对呼吸音的分析及与床垫式睡眠呼吸监测系统(RS-611型)所监测结果进行比对,探索该技术监测睡眠呼吸暂停综合征(SAS)的可行性及应用效果。方法:1.选取2017年1月4日至2017年1月19日在中国人民解放军总医院(301医院)睡眠呼吸监测中心进行睡眠呼吸监测的11例患者作为研究对象,通过询问病史,对研究对象的基本信息如年龄、性别、身高、体重等指标进行采集。11例研究对象中男性10例、女性1例,平均年龄为44.9±8.37岁,平均身高171.9±7.89厘米(cm),平均体重88.8±16.1千克(kg),平均体质指数30±4.47 kg/m~2。2.对11例研究对象通过配对样本设计的方法,用激光声音侦听技术和床垫式睡眠呼吸监测系统同时采集同一研究对象夜间7小时睡眠期间的相关数据。3.通过床垫式睡眠呼吸监测系统监测睡眠呼吸暂停低通气总次数、睡眠呼吸暂停最长时间和总次数以及睡眠呼吸低通气最长时间和总次数。4.通过激光声音侦听技术采集研究对象夜间睡眠期间的呼吸音,应用Goldwave软件对呼吸音信号分析处理,获得睡眠事件的相关参数。5.将激光声音侦听技术与床垫式睡眠呼吸监测系统所获得的相应数据通过统计学中秩和检验的方法进行对比分析。结果:1.两种方法监测所得的睡眠呼吸暂停低通气总次数相比较,差异无统计学意义(P0.05)。2.两种方法监测的睡眠呼吸暂停最长时间比较,差异无统计学意义(P0.05)。两种方法监测的睡眠呼吸暂停总次数比较,差异无统计学意义(P0.05)。3.两种方法监测的睡眠呼吸低通气最长时间比较,差异有统计学意义(P0.05)。两种方法监测的睡眠呼吸低通气总次数比较,差异有统计学意义(P0.05)。结论:1.激光声音侦听技术可实现对患者睡眠期间的呼吸音进行全程记录并量化分析。2.应用激光声音侦听技术通过对患者睡眠期间呼吸音的持续监测及分析,可以反映患者睡眠呼吸暂停低通气的总次数、睡眠呼吸暂停最长时间及总次数等睡眠呼吸事件的发生情况。3.应用激光声音侦听技术通过对患者睡眠期间呼吸音的持续监测及分析,其结果与床垫式睡眠呼吸监测系统的结果基本一致。4.与床垫式睡眠呼吸监测系统相比,激光声音侦听技术监测睡眠呼吸低通气更为敏感。第二部分激光声音侦听技术与床垫式睡眠呼吸监测系统监测SAS有效性的比较目的:通过比较激光声音侦听技术和床垫式睡眠呼吸监测系统对SAS监测结果的有效性,为SAS的诊断提供一种简单而全新的思路和技术。方法:1.选取2017年2月6日至2017年2月20日在中国人民解放军总医院(301医院)睡眠呼吸监测中心进行睡眠呼吸监测的10例患者作为研究对象,10例研究对象为既往确诊SAS或此后经床垫式睡眠呼吸监测系统证实为SAS,通过询问病史,对研究对象的基本信息如年龄、性别、身高、体重等指标进行采集。10例研究对象都是男性,平均年龄52.6±9.83岁,平均身高171.5±5.42cm,平均体重88.1±9.18kg,平均体质指数30±2.93kg/m~2。2.将研究对象随机分为两组,试验组采用激光声音侦听技术采集研究对象夜间睡眠期间的呼吸音,应用Goldwave软件对呼吸音信号进行分析处理,获得睡眠事件的相关参数;对照组采用床垫式睡眠呼吸监测系统监测,分别采集夜间7小时睡眠事件。3.将两组数据经过统计学中Fisher确切概率法进行对比分析。结果:1.10例研究对象中,试验组共7例,5例监测结果符合SAS诊断,视为有效,2例诊断结果不符合SAS诊断,视为无效,有效率71.4%;对照组共3例,监测结果均为SAS,均有效,有效率100%。2.将两组数据经过Fisher确切概率法进行分析,得P=0.534,P0.05,差异无统计学意义。结论:1.激光声音侦听技术具有监测指标少,灵敏度高的特点。2.技术可以用于临床SAS的监测,为睡眠呼吸系统疾病的诊断提供一种简便高效的监测新技术。
[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.
【学位授予单位】:山西医科大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:R766
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