Sensors, Vol. 20, Pages 1895: Deep Learning Approaches for Detecting Freezing of Gait in Parkinson ’s Disease Patients through On-Body Acceleration Sensors

This study presents a new approach based on a recurrent neural network (RNN) and a single waist-worn triaxial accelerometer to enhance the FOG detection performance to be used in real home-environments. Also, several machine and deep learning approaches for FOG detection are evaluated using a leave-one-subject-out (LOSO) cross-validation. Results show that modeling spectral information of adjacent windows through an RNN can bring a significant improvement in the performance of FOG detection without increasing the length of the analysis window (required to using it as a cue-system).

Source: Sensors - March 28, 2020 Category: Biotechnology Authors: Luis Sigcha N élson Costa Ignacio Pav ón Susana Costa Pedro Arezes Juan Manuel L ópez Guillermo De Arcas Tags: Article Source Type: research