基于重力加速度的睡眠监测系统研究

发布时间：2018-06-25 08:20

本文选题：睡眠监测 + 加速度　；参考：《河北科技大学》2017年硕士论文

【摘要】：睡眠呼吸监测是评估睡眠障碍类型与严重程度的“金标准”,是诊断睡眠障碍疾患的基本方法。目前各级医院开展睡眠呼吸监测受到仪器、床位、人力等条件的限制,由于其操作复杂、价格昂贵、使用场景固定,容易给被测者造成心理压力和紧张,增加了他们的负担和风险,无法满足众多睡眠呼吸障碍患者检查诊治的需求,很难解决因睡眠环境改变导致监测结果不准的问题。因此,对人体睡眠过程进行实时的生理参数监测来改善睡眠质量显得特别重要。本课题基于活动、体位和鼾声信号构建新型睡眠监测系统,就远程家中监测的技术与方法进行系统研究。本项目的完成,可为广大睡眠呼吸障碍疾病患者提供方便可靠、准确高效的睡眠监测服务,并根据监测结果及时指导患者选择最适宜的防治方法。本系统的整体设计包括移动终端和上位机端两个方面,为了满足低功耗和方便携带等要求,保证硬件在结构安排和元器件的选择上都要具有高集成度和良好的抗干扰性。移动终端采用STM32F103C8T6作为主控制器,通过MPU-6050惯性传感器和MP45DT02传感器分别采集重力加速度、角速度和鼾声信号并对原始信号进行滤波。通过互补滤波算法将MPU-6050加速度和角速度融合为体位信号。通过采集的加速度信号分析得到睡眠质量,同时综合分析鼾声与体位信号为患者提出睡眠建议。进行基于C语言的姿态解算和下位机软件编程;编写基于LabVIEW的上位机界面设计和程序的编写并设计其与下位机的连接方式和通信协议,实现两者的数据传输、显示和参数的设定。通过测试证明本监测系统具有控制灵敏度高、抗干扰性强,性能稳定、功能丰富、对患者的心理负荷小等诸多优点,并且具有很好的通用性,适合人们进行实时睡眠的监测。
[Abstract]:Sleep apnea monitoring is the golden standard for evaluating the types and severity of sleep disorders and is the basic method for diagnosis of sleep disorders. At present, hospitals at all levels are restricted by equipment, beds, manpower and other conditions for monitoring sleep breathing. Because of their complex operation, high prices, fixed use scenarios, and easy to cause psychological pressure and tension to the subjects, It increases their burden and risk and can not meet the needs of many patients with sleep apnea. It is difficult to solve the problem that the monitoring results are inaccurate due to the change of sleep environment. Therefore, it is very important to monitor real-time physiological parameters to improve sleep quality. Based on activity, posture and snoring signal, a new sleep monitoring system is constructed in this paper, and the techniques and methods of remote home monitoring are studied systematically. The completion of this project can provide convenient, reliable, accurate and efficient sleep monitoring services for the majority of patients with sleep apnea disorder, and guide the patients to choose the most appropriate prevention and treatment methods according to the monitoring results. The whole design of the system includes two aspects: mobile terminal and upper computer. In order to meet the requirements of low power consumption and easy to carry, the hardware must have high integration and good anti-interference in the structure arrangement and the choice of components. The mobile terminal uses STM32F103C8T6 as the main controller. The MPU-6050 inertial sensor and MP45DT02 sensor collect the gravity acceleration, angular velocity and snoring signal respectively and filter the original signal. MPU-6050 acceleration and angular velocity are fused to position signal by complementary filtering algorithm. The quality of sleep was obtained by analyzing the acceleration signals collected, and the sleeping suggestions were put forward by synthetically analyzing the snoring and posture signals. In order to realize the data transmission, the attitude solution and software programming based on C language, the interface design and programming of upper computer based on LabVIEW, and the connection mode and communication protocol between upper computer and lower computer are designed. Display and parameter setting. It is proved by test that this monitoring system has many advantages such as high control sensitivity, strong anti-interference, stable performance, rich function, low psychological load and so on, and has good versatility, which is suitable for people to monitor sleep in real time.
【学位授予单位】：河北科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP274

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