基于物联网的心电监测系统的设计

发布时间：2018-01-20 21:27

本文关键词： 低功耗物联网远程监护心电　出处：《天津工业大学》2017年硕士论文　论文类型：学位论文

【摘要】：心脑血管疾病(CCVD)是一种严重威胁人类健康的疾病,具有高患病率、高致残率和高死亡率的特点。由于CCVD具有突发性、隐蔽性的特征,因此迫切需要一款便携式心电监护设备,实现患者的全天候监护。随着物联网与智能手机的发展,越来越多的智能化产品面向市场,医疗设备也正向微型化、网络化、智能化方向发展,这使远程心电监护成为可能。将心电信号采集、无线通信、云数据同步相结合,研发一款低功耗的便携式远程心电监护设备,可以实现患者远程、全天候心电监护,大大降低心脑血管疾病的患病率和死亡率。本文设计了一款基于智能手机的远程心电监护系统,采用ADS1191低功耗信号采集芯片和CC2540蓝牙4.0低功耗解决方案,设计了心电信号采集终端,实现心电信号的采集和无线数据传输;以智能手机为平台,设计了一款手机APP,实现心电数据的在线监护与远程数据同步,为患者提供全天候监护服务。该系统具有功耗低、易操作、可穿戴的特点。测试结果表明,该系统能够准确测量心电信号,并对心电信号进行实时性检测,实现了本地与远程服务器的数据同步与远程诊断等功能。
[Abstract]:Cardio-cerebrovascular disease (CCVD) is a serious threat to human health, with high morbidity, high disability rate and high mortality. Therefore, there is an urgent need for a portable ECG monitoring device to achieve all-weather monitoring of patients. With the development of the Internet of things and smart phones, more and more intelligent products are facing the market, and medical devices are also becoming miniaturized. With the development of network and intelligence, remote ECG monitoring is possible. A low power consumption portable remote ECG monitoring device is developed by combining ECG signal acquisition, wireless communication and cloud data synchronization. Can achieve remote, all-weather ECG monitoring, greatly reduce the prevalence and mortality of cardiovascular and cerebrovascular diseases. This paper designed a smart phone based remote ECG monitoring system. Adopting ADS1191 low-power signal acquisition chip and CC2540 Bluetooth 4.0 low-power solution, the ECG signal acquisition terminal is designed to realize ECG signal acquisition and wireless data transmission. Based on the platform of smart phone, a mobile phone app is designed, which can synchronize ECG data online with remote data, and provide all-weather monitoring service for patients. The system has low power consumption and easy to operate. The test results show that the system can accurately measure ECG signals and detect ECG signals in real time. The functions of data synchronization and remote diagnosis between local and remote servers are realized.
【学位授予单位】：天津工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP391.44;TN925;TP274

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