A Comatose Patient Monitoring System Based on IoT

Dr. S. K. Manju Bargavi, Aniket Mishra

Abstract: A sophisticated system that allows real-time monitoring and analysis of patients' vital signs in a comatose condition is the IoT (Internet of Things) based monitoring system for comatose patients. The system uses a number of sensors, including blood pressure, oxygen saturation, temperature, and pulse sensors, to gather and send data to a central server over a wireless network. To find patterns and trends in the patient's condition, the collected data is examined using machine learning algorithms. The device also has an alarm system that goes out when it detects a critical change in the patient's vital signs. The technology can greatly lessen the strain of medical workers and offer constant monitoring, ensuring that any condition that could be life-threatening is swiftly treated.

Keywords: IoT, monitoring system, patients who are unconscious, sensors, in-the-moment analysis, vital signs, machine learning, warning system, and wireless network