Abstract
Telehealth and remote patient monitoring (RPM) have been critical components that have received substantial attention and gained hold since the pandemic's beginning. Telehealth and RPM allow easy access to patient data and help provide high-quality care to patients at a low cost. This article proposes an Intelligent Remote Patient Activity Tracking System system that can monitor patient activities and vitals during those activities based on the attached sensors. An Internet of Things- (IoT-) enabled health monitoring device is designed using machine learning models to track patient's activities such as running, sleeping, walking, and exercising, the vitals during those activities such as body temperature and heart rate, and the patient's breathing pattern during such activities. Machine learning models are used to identify different activities of the patient and analyze the patient's respiratory health during various activities. Currently, the machine learning models are used to detect cough and healthy breathing only. A web application is also designed to track the data uploaded by the proposed devices.
Highlights
Remote Patient Monitoring (RPM) is an emerging research field that has gained much attention as today’s world faces a tremendous need for it in the time of the pandemic. e pandemic has exposed many problems, such as overloading hospitals, the risk of healthcare workers being infected, etc
Even COVID-positive patients can be monitored remotely if they are not in a critical situation. e RPM system assists in remote monitoring in real-time, which enables the detection of specified illnesses rapidly
To enable such features in the RMP system, this study aims to build a health monitoring device with machine learning (ML) capabilities, network infrastructure, and software applications that will help doctors monitor the activities of their patients and vitals during such activities
Summary
Remote Patient Monitoring (RPM) is an emerging research field that has gained much attention as today’s world faces a tremendous need for it in the time of the pandemic. e pandemic has exposed many problems, such as overloading hospitals, the risk of healthcare workers being infected, etc. There is a need for an RPM system to remotely monitor COVID-negative patients and make the healthcare facility available to COVID-positive patients in the event of an emergency. E RPM system assists in remote monitoring in real-time, which enables the detection of specified illnesses rapidly. Using RPM, patients can be monitored from a remote location away from hospital environments using technology. E benefits of using RPM are early detection of patients’ health conditions, real-time acquisition of patients’ health status, preventing critical health situations, hospitalization, and even deaths. E primary purpose of RPM is to deliver good healthcare facilities to patients from the comfort of their homes and give them psychological advantages as they are away from the hospital environment. RPM can be implemented for patients with different target groups, for Journal of Healthcare Engineering example, patients having chronic illnesses and disabilities, patients with mobility issues, and elderly patients. e primary purpose of RPM is to deliver good healthcare facilities to patients from the comfort of their homes and give them psychological advantages as they are away from the hospital environment. erefore, the RMP gives patients the freedom and comfort of home and allows them to perform daily activities in their friendly environments while being actively monitored for health conditions. e doctors can monitor and keep track of patients’ health remotely with the help of an automated system capable of generating an alert if something is wrong with the patients’ health parameters [1]
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