Model and Structure of IoT Network for Alzheimer’s Disease Diagnostics

Abstract

The article presents the structure and model of an Internet of Things network that can be used for remote rapid detection of Alzheimer’s disease. A local server model of the Internet of Things network has been created for personalized medical care on the client side. The model corresponds to the characteristics of the Internet of Things network: interconnection between devices, real-time communication, data processing and analysis, the use of various protocols for data transfer and exchange. When building the model, the Flask framework was used to create an application instance with a trigger condition for sending data from a smartphone to a local server via an HTTP request. The local server receives the HTTP request sent by the smartphone and processes the data. The result of the procedure is transmitted through the MQTT protocol to the MQTT client that has been subscribed to certain topics, i.e., the smartphone. Taking into account the selected structure and configuration of the Internet of Things network device, a complete model of this network was built, which can be applied to various applications. The functions and performance of the model are verified through experiments.