Internet of Things-based Integrated Remote Electronic Health Surveillance and Alert System: A Review

Abstract

The Internet of Things (IoT) has made it far simpler to implement a remote, real-time patient health monitoring system from locations other than hospitals, such as patients' homes. Sensors retrieve various data related to the patient and record a variety of indicators. Then, the IoT, which presents it on a website and provides access for remote monitoring, saves this information. Because of this, we can lessen the number of mistakes made by humans, and the amount of space that the system takes up in the room may be decreased due to its smaller size. The creation of alarms is employed in such a way that the patient is not prevented from taking their medications at the appropriate times. If the health parameters reach the predetermined value, a notification is usually delivered through email or a text message alert. The competent authorities can be aware of the situation thanks to the notification method. In this article, we have addressed the monitoring of several diseases and vital signs, including the rate of one's heartbeat, blood pressure, breathing rate, body temperature, and pace of movement, using various methods. Another critical aspect of the solution that has been presented is creating the ideal environment for the patient, considering their current state of health.

Implementation of an Advanced Health-Monitoring System Capable of Real-Time Analysis and Alerting

“…With the help of this technology, clinicians can attain timely information on the health of their patients and respond quickly to anomalies [8]. Incorporating IoT and web-based monitoring lessens a system's physical footprint while also reducing human error [9]. Additionally, an IoT-based smart healthcare system that can track patients' fundamental health indicators and a room's environmental variables in real-time has been proposed [10].…”

نظام مدمج منخفض التكلفة للكشف عن السقوط وتنبيه الطوارئ باستخدام إنترنت الأشياء لكبار السن

“…No of the specifics of implementation, the fall detection algorithm is a crucial part of the system. It examines the sensor data [21] to determine when a fall will occur, and when one happens, it activates an emergency alert system. This makes sure that, in the event of a fall, emergency personnel are swiftly alerted, which could, in some circumstances, save a life [22].…”