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ICU Health Monitoring System in IoT with Machine Learning

Sahil Devendra Kini, Anish Jagannath Yadav, Anuradha Dandwate, Sagar Hindurao Bhondwe


The Internet of Things (IoT) allows humans to push to a higher level of automation by developing systems using various sensors, interconnected smart devices, and the Internet. In ICU, patient checking is basic and most vital activity as little deferral in choice related to patients’ treatment may cause lasting permanent disability or maybe death. Most ICU devices are equipped with various sensors to live health parameters but to watch it all the time remains a challenging job. We are proposing an IoT-based system which may help in fast communication and identify emergencies and initiate communication with healthcare staff and also helps to initiate proactive and quick treatment. This healthcare system reduces the possibility of human errors, delays in communication, and helps doctors to spare longer in decisions with accurate observations.Healthy people are important for any nation’s development.The use of the web in IoT-based BANs (body area networks) is increasing for continuous medical healthcare and monitoring so as to perform actions in real-time just in case of emergencies. However, within the case of monitoring the health of all citizens or people in a country, the many sensors attached to human bodies generate massive volumes of heterogeneous data, called Big Data. Processing Big Data and performing actions in real-time in situations that can be critical is a challenging task. Therefore, so as to deal with such issues, we propose a Real-time Medical Emergency Response System that involves IoT-based medical sensors deployed on the physical body.


Internet of Things, ICU, Wi-Fi connection, Patient Health Monitoring System, DC power. Supply.

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