An Intelligent Ecosystem for Improving Brain Disease Monitoring of Patients Using Wearable Devices and Artificial Intelligence

Nowadays, neurological diseases represent a medical emergency for which new prevention, monitoring and adequate treatment solutions are needed. ALAMEDA project proposes a monitoring solution for patients with Parkinson’s disease, Multiple Sclerosis, and Stroke, using multiple sensors and specific applications to collect information on the condition of health and aspects of lifestyle, activity level, sociability and mood. The paper describes the ALAMEDA infrastructure architecture and all processes to support the dedicated AI toolkit, along with all relevant concepts, components and interactions. Data collection methods are central to the objectives of the ALAMEDA project, as they are responsible for the acquisition of all data necessary for patient monitoring and evaluation during the pilot period. In this sense, the data flow for the data collection service for smart bracelets and smart insoles is presented, as well as how users interact with these devices.

I. Introduction

Many technological advances have been made in medicine, and neurological diseases such as Parkinson’s disease (PD), multiple sclerosis (MS), and cerebral vascular accident (STROKE) have benefited greatly from the digital health revolution. Due to the need for care, as well as the immediate intervention and the small number of professionals in the field of neurologists, the role of telemedicine has become essential in the acute care of cerebrovascular diseases based on scientific evidence [1].