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A Convolutional Neural Network-Based Method for Human Movement Patterns Classification in Alzheimer's Disease

Santos Bringas, Sergio Salomón, Rafael Duque, José Luis Montaña, Carmen Lage
2019 Proceedings (MDPI)  
Alzheimer's disease (AD) constitutes a neurodegenerative pathology that presents mobility disorders as one of its earliest symptoms. Current smartphones integrate accelerometers that can be used to collect mobility data of Alzheimer's patients. This paper describes a method that processes these accelerometer data and a convolutional neural network (CNN) that classifies the stage of the disease according to the mobility patterns of the patient. The method is applied in a case study with 35
more » ... study with 35 Alzheimer's patients, in which a classification success rate of 91% was obtained.
doi:10.3390/proceedings2019031072 fatcat:gglknxhl3nfltko5haa2jmtjj4