A Comparative Study on Performance Measures of Smart Monitoring System

The Intelligent techniques are required to track patients' physiological data remotely and effectively. Individuals who are at high risk after surgery require a high degree of care. The primary goal is to assess a research model that employs a machine learning technique and deep learning algorithm to investigate clinical data using a Convolutional Neural Network Model. It is constructed in three sections. The goal of the ssytem is to provide a full monitoring and analysis platform powered by the MATLAB IDE that can be used to build patient observing systems all in one place. The current technique of checking patients in hospitals binds them to their beds and may be uncomfortable for patients to wear. The designed framework incorporates integrated sensors such as a skin temperature sensor.