基于物联网的高性价比智能医疗,用于使用智能手机的covid - 19患者实时早期识别和监测系统

Md. Tanvir Shahed, Abda Fariha Azim Meem, Md. Shazibul Habib, Goyur Prosad Sen, Md. Shamim Hossen, Md. Shamim Uddin
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引用次数: 1

摘要

SARS-CoV-2病毒会导致COVID-19,这是一种高度传染性疾病。COVID-19患者、家属和医疗专业人员之间的会面不再安全。为了与病人见面,医生和病人家属必须采取极端的预防措施。即使采取了这些严格的安全预防措施,他或她仍有可能受到COVID-19的影响。在这种情况下,通过物联网设备对患者进行远程监控可以成为当今医疗保健系统的高效系统,没有安全问题。本文介绍了一种基于物联网的COVID-19患者远程监测系统,该系统使用患者心率、体温和血氧饱和度的测量值,这些是重症监护所需的最关键的测量值。该设备可以实时监测观察到的体温、心率和氧饱和度,并可以轻松地与ThingSpeakIoT云平台通道同步,通过智能手机即时访问。当传感器值超过系统安全阈值时,系统将向系统用户发送电子邮件提醒。有些人可能会注意到血氧饱和度下降,但没有任何症状或呼吸问题。在这种情况下,该系统对COVID-19的早期识别非常有用。提出的基于物联网的技术基于Arduino Uno系统,并已由大量人类测试参与者进行了测试和验证。作为实例,本文给出了五个样本结果。该系统产生了可喜的结果。与其他市售设备相比,该系统的结果是准确的,最大错误率小于5%,这是完全可以接受的。系统的数据可以保存在ThingSpeak云服务器中,以供进一步分析。本系统需要唯一的电子邮件和密码验证,以保证系统安全和用户数据的隐私。由于其独特性和多样化的医疗应用,该患者监测系统在本次covid -19大流行期间越来越受欢迎。如果不能及时准确地发现疾病,我们就没有机会提供医疗服务,许多人的生活每天都会受到影响。为了应对这种情况,该系统将帮助监测COVID-19患者的具体参数,定期预测患者的状态,并在出现异常情况时向系统用户发送电子邮件提醒。因此,这种基于物联网的智能医疗解决方案可以在当前的COVID-19大流行期间帮助挽救生命。这项技术易于使用,减少了对人工干预的需要。
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An IoT Enabled Cost Effective Smart Healthcare for Real-Time COVID19 Patient Early Identification and Monitoring System Using Smartphone
The SARS-CoV-2 virus causes COVID-19, a highly contagious disease. Meetings between COVID-19 patients, their families, and medical professionals are no longer safe. To meet their patients, doctors and patients' families must take extreme precautions. Even with these stringent safety precautions, there is a chance that he or she will be affected by COVID-19. In this context, remote patient monitoring via IoT devices can be a highly effective system for today's healthcare system with no safety concerns. This paper describes an IoT-based system for remote monitoring of COVID-19 patients that uses measured values of the patient's heart rate, body temperature, and oxygen saturation, the most critical measures required for critical care. This device can monitor the observed body temperature, heart rate, and oxygen saturation level in real time and can be easily synchronized with a ThingSpeak IoT cloud platform channel for instant access through a smartphone. When the sensor value exceeds the system's safe threshold, the system will send an email alert to the system user. Some people may notice a decrease in oxygen saturation without any symptoms or respiratory problems. This system can be very useful for early COVID-19 identification in this case. The proposed IoT-based technique is based on an Arduino Uno system and has been tested and validated by a large number of human test participants. As an example, five sample results are shown in this paper. The system yielded promising results. When compared to other commercially available devices, the system's results were found to be accurate, with a maximum error rate of less than 5%, which is quite acceptable. The system's data can be saved in the ThingSpeak cloud server for further analysis. This system requires a unique email and password verification to maintain system security and user data privacy. This patient monitoring system has grown in popularity during this COVID-19 pandemic due to its uniqueness and diverse medical applications. Many people's lives are impacted daily when illnesses are not identified in a timely and accurate manner, denying us the opportunity to provide medical care. To deal with such scenarios, this system will help to monitor a COVID-19 patient's specific parameters, predict the patient's status on a regular basis, and send an email alert to the system user if something abnormal occurs. As a result, this IoT-based smart healthcare solution could help save lives during the current COVID-19 pandemic. This technology is easy to use and reduces the need for human intervention.
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来源期刊
International Journal of Sensors, Wireless Communications and Control
International Journal of Sensors, Wireless Communications and Control Engineering-Electrical and Electronic Engineering
CiteScore
2.20
自引率
0.00%
发文量
53
期刊介绍: International Journal of Sensors, Wireless Communications and Control publishes timely research articles, full-length/ mini reviews and communications on these three strongly related areas, with emphasis on networked control systems whose sensors are interconnected via wireless communication networks. The emergence of high speed wireless network technologies allows a cluster of devices to be linked together economically to form a distributed system. Wireless communication is playing an increasingly important role in such distributed systems. Transmitting sensor measurements and control commands over wireless links allows rapid deployment, flexible installation, fully mobile operation and prevents the cable wear and tear problem in industrial automation, healthcare and environmental assessment. Wireless networked systems has raised and continues to raise fundamental challenges in the fields of science, engineering and industrial applications, hence, more new modelling techniques, problem formulations and solutions are required.
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