基于物联网云的无线心电监测与分析系统

IF 2 4区计算机科学 Q2 Computer Science

Intelligent Automation and Soft Computing Pub Date : 2022-01-01 DOI:10.32604/iasc.2022.024005

Anas Bushnag

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引用次数: 1

摘要

便携式心电图(ECG)监测系统对于不能定期访问医院的老年和偏远患者至关重要。该系统通过物联网(IoT)云服务器将患者与医生连接起来，该服务器提供诊断心脏病所需的所有信息。患者使用心电监测设备通过消息队列遥测传输(MQTT)协议收集和上传有关其当前医疗状况的信息到服务器。物联网云服务器执行对医生和患者都有用的进一步分析。此外，建议的系统具有警报机制，当达到某个阈值时发送通知。监测系统接受两种类型的输入数据:由心电设备收集的实时数据和来自PhysioNet ECG- id数据库的基准数据。系统框架由输入、嵌入式设备、物联网云服务器、接口四个部分组成。本文使用两种类型的输入数据进行了两个实验。结果表明，该系统提供了可靠和可信的结果，可能会减少所需的医院就诊次数。将所提出的系统与文献中先前报道的几种技术进行比较。最后，给出了系统的具体实现，以说明系统的运行情况。

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A Wireless ECG Monitoring and Analysis System Using the IoT Cloud

A portable electrocardiogram (ECG) monitoring system is essential for elderly and remote patients who are not able to visit the hospital regularly. The system connects a patient to his/her doctor through an Internet of Things (IoT) cloud server that provides all the information needed to diagnose heart diseases. Patients use an ECG monitoring device to collect and upload information regarding their current medical situation via the Message Queue Telemetry Transport (MQTT) protocol to the server. The IoT cloud server performs further analysis that can be useful for both the doctor and the patient. Moreover, the proposed system has an alert mechanism that sends notifications when a certain threshold is reached. The monitoring system accepts two types of input data: real-time data that are collected by an ECG device and benchmark data from the PhysioNet ECG-ID database. The system framework has four components: input, embedded device, IoT cloud server, and interface. Herein, two experiments are conducted using both types of input data. The results show that the proposed system provides reliable and trusted results that might reduce the number of required hospital visits. A comparison between the proposed system and several techniques previously reported in the literature is conducted. Finally, an implementation of the proposed system is presented to illustrate its operation.

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来源期刊

Intelligent Automation and Soft Computing 工程技术-计算机：人工智能

CiteScore

3.50

自引率

10.00%

发文量

429

审稿时长

10.8 months

期刊介绍： An International Journal seeks to provide a common forum for the dissemination of accurate results about the world of intelligent automation, artificial intelligence, computer science, control, intelligent data science, modeling and systems engineering. It is intended that the articles published in the journal will encompass both the short and the long term effects of soft computing and other related fields such as robotics, control, computer, vision, speech recognition, pattern recognition, data mining, big data, data analytics, machine intelligence, cyber security and deep learning. It further hopes it will address the existing and emerging relationships between automation, systems engineering, system of systems engineering and soft computing. The journal will publish original and survey papers on artificial intelligence, intelligent automation and computer engineering with an emphasis on current and potential applications of soft computing. It will have a broad interest in all engineering disciplines, computer science, and related technological fields such as medicine, biology operations research, technology management, agriculture and information technology.