IoT for Critically Ill Patients using Pulse Sensors

In recent times, the Internet of Things (IoT) is revolutionizing technology infrastructure, and one notable application is cardiac health monitoring. This paper provides insight on aspects, dimensions and a prototype of sustainable integrated smart healthcare architecture with explicit clarification of significant development boards to design and implement a sustainable smart healthcare system that empowers strong connectivity among numerous devices and human beings in the recent digital era. This research project has addressed the creation and evaluation of a neural network model using the Keras library to classify activation based on "beatsPerMinute" data. In this research project, the goal is to implement artificial intelligence (AI) with the purpose of preventing crises in patients, such as cardiac arrests, cardiorespiratory arrests or any notable emergency. The purpose of this work is to provide a smart healthcare monitoring system with a wellness service delivery arrangement under the IoT platform.