Department of Mechanical, Mechatronics and Manufacturing Engineering, University of Engineering and Technology Lahore, Faisalabad Campus, Faisalabad 38000, Pakistan.
Imam Mohammad Ibn Saud Islamic University, Information Systems Department, Riyadh 11432, Saudi Arabia.
Math Biosci Eng. 2022 May 23;19(8):7586-7605. doi: 10.3934/mbe.2022357.
By upgrading medical facilities with internet of things (IoT), early researchers have produced positive results. Isolated COVID-19 patients in remote areas, where patients are not able to approach a doctor for the detection of routine parameters, are now getting feasible. The doctors and families will be able to track the patient's health outside of the hospital utilizing sensors, cloud storage, data transmission, and IoT mobile applications. The main purpose of the proposed research-based project is to develop a remote health surveillance system utilizing local sensors. The proposed system also provides GSM messages, live location, and send email to the doctor during emergency conditions. Based on artificial intelligence (AI), a feedback action is taken in case of the absence of a doctor, where an automatic injection system injects the dose into the patient's body during an emergency. The significant parameters catering to our project are limited to ECG monitoring, SpO2 level detection, body temperature, and pulse rate measurement. Some parameters will be remotely shown to the doctor via the Blynk application in case of any abrupt change in the parameters. If the doctor is not available, the IoT system will send the location to the emergency team and relatives. In severe conditions, an AI-based system will analyze the parameters and injects the dose.
通过将物联网（IoT）应用于医疗设施升级，早期研究人员已经取得了积极的成果。在偏远地区，由于无法为常规参数检测而接近医生的孤立 COVID-19 患者，现在可以实现远程医疗。医生和家属可以利用传感器、云存储、数据传输和物联网移动应用程序在医院外跟踪患者的健康状况。拟议的基于研究的项目的主要目的是开发一种利用本地传感器的远程健康监测系统。该系统还提供了 GSM 消息，在紧急情况下向医生发送实时位置和电子邮件。基于人工智能（AI），在医生不在的情况下采取反馈措施，在紧急情况下，自动注射系统将剂量注入患者体内。符合我们项目的重要参数仅限于心电图监测、SpO2 水平检测、体温和脉搏率测量。如果参数发生任何突然变化，某些参数将通过 Blynk 应用程序远程显示给医生。如果医生不在，物联网系统将向急救队和亲属发送位置。在严重情况下，基于 AI 的系统将分析参数并注入剂量。
