Development of Smart Healthcare Tracker through Internet of Things

Ten Yi Ting, F. Yakub, Mohd Azizi Abdul Rahman, Ahmad Haziq Shamsul Bahri, Mohamad Aiman Syamir, Muhammad Azri Azizan, H. Kaidi, N. Noor, N. Bani, Siti Zura A.Jalil, H. Abdullah, N. Hussien
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引用次数: 1

Abstract

According to the World Health Organization, there are approximately 17.9 million people in the world who will die under the cause of Cardiovascular diseases (CVDs) in 2019. Heart and Brain are both related to Cardiovascular diseases. Even if the patients do not pass away due to the disease, the post-effect of this illness burdens the patients and their families. Also, the outbreak of COVID-19 makes the patients take a risk of undergoing rehabilitation in the hospital. Thus, a smart healthcare solution which is a Smart Healthcare Tracker through the Internet of Things is designed. The system consists of an EMG sensor, accelerometer, gyroscope, and heart rate/pulse oximeter connected to ESP 32 with an interface of NodeMCU to study the patients’ health condition for arms and legs strength by sending the data to the caregivers or physicians. The project aimed to obtain a consistent and accurate reading for each of the features for arms and legs strength analysis and sleeping disturbance analysis. The BLYNK app is also applied to the project design as a platform to display the analysis result to the caregivers/physicians on the gadgets at any time and anywhere. The prototype has been constructed and the data collection is built successfully. The prototype is trusted to obtain accurate and consistent results and can provide a sustainable way for the rehabilitation to indicate the health condition and the recovery stage of the patients.
基于物联网的智能医疗跟踪器开发
根据世界卫生组织的数据,2019年全球将有大约1790万人死于心血管疾病(cvd)。心脏和大脑都与心血管疾病有关。即使患者没有因疾病而去世,这种疾病的后遗症也会给患者及其家人带来负担。此外,新冠肺炎的爆发使患者面临着在医院接受康复治疗的风险。因此,通过物联网设计了智能医疗保健解决方案,即智能医疗保健跟踪器。该系统由肌电传感器、加速度计、陀螺仪和心率/脉搏血氧仪组成,通过NodeMCU接口连接到ESP 32,通过将数据发送给护理人员或医生来研究患者的手臂和腿部力量的健康状况。该项目旨在为手臂和腿部力量分析和睡眠障碍分析获得一致和准确的每个特征读数。BLYNK应用程序也被应用到项目设计中,作为一个平台,可以随时随地在小工具上向护理人员/医生显示分析结果。样机搭建完成,数据采集搭建成功。该原型可获得准确一致的结果,可为康复提供一种可持续的方式,以指示患者的健康状况和康复阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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