Protótipo de dispositivo vestível utilizando sensor inercial para detecção e visualização em tempo real de tremor de repouso de pessoas com a doença de Parkinson

Abstract

Parkinson's disease (PD) is a neurodegenerative disease that affects the region known as the substantia nigra. Its main cardinal symptoms are tremors, rigidity, bradykinesia and postural instability. This is a disease that mainly affects the elderly population and affects more than 6.1 million people worldwide. There is currently no treatment capable of reversing neuronal degeneration, so it is necessary to monitor the evolution of the disease and the effectiveness of the treatments applied. The main methods to evaluate Parkinson's disease are based on subjective scales, so there are several applications that use sensors, mainly inertial ones, and can be linked to other resources, such as machine learning or electromyography, to collect and classify information in a different way. objective. New technologies aimed at telemedicine have been made possible thanks, among other factors, to the increase in computational capacity, the cheaper and evolution of sensors and the expansion of cloud environments aimed at IoT applications. Considering the evolution trend of telemedicine, the present work proposes a wearable device prototype for monitoring resting tremor events in individuals with Parkinson's disease using an inertial sensor with real-time sending of information, in a secure and managed manner, to a cloud environment using the MQTT protocol, and making the information graphically accessible via a Dashboard.