Abstract
A continuous health monitoring system for patients with long term sickness and older age people in bed rest in-home or hospital. The system is developed to provide a solution for the problem by continuously monitor the patient's health using wireless sensor networks (WSN) and Machine learning. The system provides visual monitoring service through live video. The vital signs of the patient can be monitored such as temperature, humidity, pulse, breathing rate, etc. and provides the live monitoring using an MQTT mobile application and losant dashboard cloud server. From the collected data by using a machine learning algorithm like a random forest we can able to target the risk causing factors and rescues the patient immediately.
Highlights
The proposed system monitors the health parameters of the patient with long term sickness and older age people who are bed return
The developed system provides a solution for those patients by continuously monitors the body's basic functions using a wireless sensor network and machine learning algorithm
The collected data is sent to doctors as well as parents through the IoT cloud system and ambulance in case of any emergency
Summary
The proposed system monitors the health parameters of the patient with long term sickness and older age people who are bed return. The developed system provides a solution for those patients by continuously monitors the body's basic functions using a wireless sensor network and machine learning algorithm. The monitor of basic vital functions such as temperature, humidity, pulse, respiration, etc. Provide live monitoring using the android application and losant dashboard cloud server. From the collected sensor data, machine learning algorithm like the random forest is implemented. The collected data is sent to doctors as well as parents through the IoT cloud system and ambulance in case of any emergency
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