arduino健康监控系统的设计与实现_毕业论文

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arduino健康监控系统的设计与实现

摘要健康监控系统是将心率传感器和蓝牙模块组成的可穿戴设备与移动设备结合起来,实现对人体心率的实时监控的可穿戴系统。

随着物联网的迅速发展、无线通信可靠性的提高,使得可穿戴设备与移动终端之间的通信变得便利。而传感器以及各类处理芯片的小型化甚至微型化,使得可穿戴设备的功能变得多样化。伴随人们对医疗水平要求的提高,医院无法满足人们随时随地监控的需要,而便携式、可穿戴的健康监控系统应运而生。84472

本文旨在设计和实现一个健康监控系统,主要包括数据采集、基于蓝牙的数据传输和基于安卓平台的数据处理。首先,通过传感器采集数据,进行模数转换;其次通过蓝牙技术进行数据传输;最终,将人体的心率实时显示在移动终端上,并加以记录,方便人们对自己的心率状况得到实时的认知。从而达到对一些疾病的预防或者预处理,以此提高医疗水平。

毕业论文关键词:可穿戴设备;心率传感器;蓝牙通信;arduino开发。

Abstract Health monitoring system is a kind of wearable system which is composed of wearable devices and mobile terminal based on pulse sensor and Bluetooth。 

With the rapid development of the Internet of things and the improvement of wireless communication, the communication between wearable devices and mobile terminals become more convenient。 The miniaturization of various types of sensors and processing chips, making the function of wearable devices become persified。 Along with the request of the medical treatment level, the hospital couldn’t meet people's request of monitoring the health anytime and anywhere。 So wearable health monitoring system becomes apparent。

This project aims to design and realize the health monitoring system which consists of data collection based on pulse sensor, data transmission based on Bluetooth and data processing based on Android。 First, the BPM data is collected through pulse sensor; second, the data is transmitted with Bluetooth to processing terminals; finally, heart rate would be displayed on the mobile terminal in real time。 It is convenient for people to get the conditions of their heart rate。 So as to achieve the prevention or pretreatment of some diseases and improve the level of medical treatment。

Keywords: wearable devices, pulse sensor, Bluetooth, arduino。

目录

第一章  绪论 1

1。1 研究背景及意义 1

1。2 国内外可穿戴式医疗监控系统的现状 2

1。2。1可穿戴设备现状 2

1。2。2 可穿戴式远程医疗的国内外现状 3

1。3 无线通信与蓝牙通信 4

1。3。1 蓝牙通信 4

1。4  Arduino平台 5

1。5 心率传感器 5

1。6 心率相关疾病 6

1。7 论文的组织结构 6

第二章  健康监控系统总体方案设计 7

2。1 系统总体设计 7

2。2 数据采集 7

2。3 数据传输 8

2。4 数据处理 8

2。4。1 移动终端数据处理 9

2。4。2 PC端数据处理 9 (责任编辑:qin)