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.

Keywords

Temperature sensor, pulse sensor, tilt sensor, sound sensor, MQTT protocol, Nodemcu, IOT,

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References

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