Classification of Daily Living Activities in subjects with Parkinson’s Disease using Artificial Neural Networks
Lizeth Rodriguez Montero,
José Ambrosio Bastián,
Alberto Isaac Pérez Sanpablo
Abstract:This paper is a proposal to contribute with health specialists to enrich the follow-up and support systems in patients with Parkinson's by identifying and classifying Daily Living Activities (DLAs) using Artificial Neural Networks programmed in Python language. The proposed method of supervised learning allowed the classification of 6 DLAs through 22 signals obtained from the application of Principal Component Analysis, creating a database used to train a Multilayer Perceptron. This model achieved an approxima… Show more
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