基于ARM的非接触式呼吸检测及蓝牙通信

发布时间：2018-03-11 22:06

本文选题：呼吸　切入点：非接触　出处：《燕山大学》2014年硕士论文　论文类型：学位论文

【摘要】：进行睡眠时呼吸检测对预防睡眠呼吸暂停综合症以及监测人体睡眠时的生命特征有着积极的意义。接触式的检测方法对人体的束缚性大，长时间的接触式呼吸检测会影响人的睡眠。针对上述问题，本文提出了一种基于电容调频原理的非接触检测呼吸的方法，在保证测量结果准确的前提下避免了电极片或传感器对人体的限制，提高了呼吸检测过程的舒适性；利用嵌入式系统进行呼吸信号的采集与处理可以减小采集单元的体积与成本；采用蓝牙技术进行呼吸信号的无线传输可以扩展本地采集系统的外部显示功能，使诊断医生或测试者能够实时对呼吸状况进行观察。本文主要研究内容如下： (1)根据人体呼吸过程中的胸廓变化，利用检测电极将胸廓变化转换为电容变化并对振荡电路进行调频实现呼吸信号的非接触测量。采用鉴频电路与滤波电路，从调频信号中解调出呼吸信号并进行放大与滤波，，实现呼吸信号的采集和处理。 (2)以ARM处理器与Windows CE操作系统为基础进行呼吸信号的采集与处理，通过蓝牙将采集到的呼吸信号实时发送至外部显示设备；研究android系统下的应用程序开发，编程控制android设备接收呼吸信号并显示，实现呼吸信号的实时监测。 (3)睡眠时人体位置不固定导致检测信号的失真和缺失，通过增加检测电极的数量，从不同的位置对人体的呼吸信号进行多点检测，弥补了单一检测电极拾取信号的片面性和局部性，采用主分量分析的算法，把分布在不同位置的检测电极所提供的局部不完整的呼吸信号加以综合，消除多维检测信号之间可能存在的冗余和干扰，加以互补、降低不确定性，提高呼吸信号的信噪比以及对呼吸信号的提取，实现呼吸信号非接触测量。
[Abstract]:Sleep breathing detection is of great significance to the life characteristics of prevention of sleep apnea and monitoring of human sleep. Detection method of contact type binding to human contact, breathing detection long time can affect people's sleep. Aiming at the above problems, this paper proposes a method of non-contact detection of breathing based on the principle of capacitance frequency, to ensure accurate measurement results under the premise of avoiding the limitation of electrodes or sensors on the human body, improve the detection process of respiratory comfort; to use the embedded system to collect and process the respiratory signal acquisition unit can reduce the volume and cost; wireless transmission of respiratory signals using Bluetooth technology can the expansion of external local acquisition system display function, make the diagnosis of the doctor or tester can real-time on respiratory status were observed. This paper mainly studies The contents are as follows:
(1) according to the changes of human thoracic respiration process, using the detection electrode will change into the thorax and the change in capacitance oscillation circuit of frequency non contact measurement of the respiratory signal. The frequency discriminator circuit and filter circuit, demodulation of the respiratory signal from the frequency modulated signal and then amplified and filtered, and realize the collection the treatment of the respiratory signal.
(2) acquisition and processing based on ARM processor and Windows CE operating system as the basis for the respiratory signal, the collected real-time respiratory signal sent to the external display device via Bluetooth; application development of Android system, Android programming control device receives the respiration signal and display, real-time monitoring of the respiratory signal.
(3) sleep the body position is not fixed and the lack of distortion to the detection signal, by increasing the number of detection electrode, multi-point detection from different locations on the human respiratory signal, make up a single detection electrode signal picking up one sidedness and locality, using principal component analysis algorithm, the local is not complete the respiratory signal distribution provided in different locations of the detection electrode to be integrated to eliminate possible between multidimensional signal detection and interference are complementary, redundancy, reduce uncertainty and improve the signal-to-noise ratio and extraction of the respiratory signal of the respiratory signal, non contact measurement of the respiratory signal.

【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN911.23;TN925

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