Automatic Fall Detection system for patients with Parkinson's disease

Perez-Siguas R.; Matta-Solis E.; Remuzgo-Artezano A.; Matta-Solis H.; Matta-Perez H.; Perez-Siguas L. · 2023 3rd International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2023 (2023) · DOI: 10.1109/icaect57570.2023.10118000

Resumen

Parkinson's disease is a progressive disease that has been increasing in each year, affecting the elderly, limiting them to perform their daily activities because this progressive disease alters their gait and causes them to fall causing them strong falls causing damage, worse than they are elderly people where a fall injury can take a long time to recover. Nowadays, there are fall prevention systems that are annoying and expensive, there are even systems that are very fragile to be used in natural environments and are very complex to manipulate, therefore, it is necessary to develop a practical, simple and cheap system to prevent people with Parkinson's disease from suffering a serious accident because of the abnormal gait they may suffer. According to the proposed problem, it is intended to realize a system that prevents the fall of people with Parkinson's disease, helping patients by performing an analysis of gait variation with the motion sensor to detect and prevent falls, allowing patients to perform their activities safely by being alerted by an auditory signal at the time they have an abnormal gait. By means of the system tests, an optimal performance was visualized, obtaining 97.99% efficiency in detecting and alerting the patient.