Heaney James, Buick Jamie, Hadi Muhammad Usman, Soin Navneet
School of Engineering, Ulster University, Newtownabbey BT37 0QB, Northern Ireland, UK.
Micromachines (Basel). 2022 Dec 6;13(12):2153. doi: 10.3390/mi13122153.
Health monitoring and its associated technologies have gained enormous importance over the past few years. The electrocardiogram (ECG) has long been a popular tool for assessing and diagnosing cardiovascular diseases (CVDs). Since the literature on ECG monitoring devices is growing at an exponential rate, it is becoming difficult for researchers and healthcare professionals to select, compare, and assess the systems that meet their demands while also meeting the monitoring standards. This emphasizes the necessity for a reliable reference to guide the design, categorization, and analysis of ECG monitoring systems, which will benefit both academics and practitioners. We present a complete ECG monitoring system in this work, describing the design stages and implementation of an end-to-end solution for capturing and displaying the patient's heart signals, heart rate, blood oxygen levels, and body temperature. The data will be presented on an OLED display, a developed Android application as well as in MATLAB via serial communication. The Internet of Things (IoT) approaches have a clear advantage in tackling the problem of heart disease patient care as they can transform the service mode into a widespread one and alert the healthcare services based on the patient's physical condition. Keeping this in mind, there is also the addition of a web server for monitoring the patient's status via WiFi. The prototype, which is compliant with the electrical safety regulations and medical equipment design, was further benchmarked against a commercially available off-the-shelf device, and showed an excellent accuracy of 99.56%.
在过去几年中，健康监测及其相关技术变得极为重要。心电图（ECG）长期以来一直是评估和诊断心血管疾病（CVD）的常用工具。由于关于心电图监测设备的文献正以指数速度增长，研究人员和医疗保健专业人员在选择、比较和评估满足他们需求且符合监测标准的系统时变得越来越困难。这凸显了需要一个可靠的参考来指导心电图监测系统的设计、分类和分析，这将使学术界和从业者都受益。在这项工作中，我们展示了一个完整的心电图监测系统，描述了用于捕获和显示患者心脏信号、心率、血氧水平和体温的端到端解决方案的设计阶段和实现。数据将通过串行通信显示在OLED显示屏、一个开发的安卓应用程序以及MATLAB中。物联网（IoT）方法在解决心脏病患者护理问题方面具有明显优势，因为它们可以将服务模式转变为广泛的模式，并根据患者的身体状况提醒医疗服务。考虑到这一点，还增加了一个用于通过WiFi监测患者状态的网络服务器。该原型符合电气安全法规和医疗设备设计要求，并与市售的现成设备进行了进一步的基准测试，显示出99.56%的出色准确率。
