基于光电容积脉搏波的穿戴式多生命体征参数采集系统

发布时间：2018-02-08 08:35

本文关键词： 光电容积脉搏波穿戴式设备生命体征参数脉搏率血氧饱和度呼吸率动脉血压　出处：《浙江大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着慢性疾病的日益普遍以及人们对自身健康状况的关注越来越多,多生命体征参数监测系统开始逐渐受到人们的关注。同时随着大数据和智能硬件的发展,穿戴式设备开始成为医疗保健领域的焦点,并被普遍认为是可覆盖人们日常生活的下一代医疗监护设备。在此背景下,本毕业设计研制了一套基于光电容积脉搏波(PPG)信号的穿戴式多生命体征参数采集系统。本系统由硬件设备和Android智能设备端的APP程序组成并协同工作。硬件设备佩戴于人体体表,并将采集到的信号发送到Android智能设备并实现波形的接收、显示,和存储等功能。本系统可采集单路或双路PPG信号、单路胸导联ECG信号,以及三轴加速度计信号。基于该系统,本文进一步设计了实验以探究位于人体喉部的最佳PPG信号采集部位。实验选取了 6个信号候选部位并通过四项参数对PPG信号的质量进行评估。实验结果发现了一个部位具有最高的信号稳定性,而另一部位具有最大的信号分量,并且能够从中提取呼吸率参数。在此基础上,本文建立了基于本穿戴式系统的多生命体征参数提取模型,可提取脉搏率、呼吸率、血氧饱和度,以及动脉血压中的收缩压和舒张压等5项参数。误差分析实验得到了上述5项参数的相对误差分别为0.73%、4.78%、0.44%、7.22%和7.82%。除了两项血压参数外,前三项参数都达到了较好的误差水平。
[Abstract]:With the increasing popularity of chronic diseases and people's concern about their own health status, the multi-vital sign parameter monitoring system has gradually attracted people's attention. At the same time, with the development of big data and intelligent hardware, Wearable devices are beginning to be the focus of health care, and are widely considered to be the next generation of medical care devices that can cover people's daily lives. This graduation design developed a wearable multi-vital sign parameter acquisition system based on photoelectric volumetric pulse wave (PPG) signal. The system is composed of hardware equipment and APP program at the end of Android intelligent device. The hardware equipment is worn on the human body surface. The system can collect single channel or double channel PPG signal, single chest lead ECG signal and three-axis accelerometer signal. In this paper, an experiment was designed to explore the best PPG signal acquisition site in human larynx. Six candidate sites were selected and the quality of PPG signal was evaluated by four parameters. A site has the highest signal stability, The other part has the largest signal component, and can extract the respiration rate parameter from it. Based on this, this paper establishes a multi-vital sign parameter extraction model based on the wearable system, which can extract pulse rate and respiration rate. The relative errors of the above five parameters are 0.73 and 4.78 0.44% and 7.82%, respectively, except for two parameters of blood pressure. The first three parameters have reached a good error level.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP274.2

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