Gait Assessment of Patients with Parkinson’s Disease using Inertial Sensors and Non-Linear Dynamics Features Paula Andrea Perez-Toro Aug 10, 2019 PDF Slides movement analysis non-linear dynamics inertial sensors Related Representaciones en Tiempo-Frecuencia en señales de marcha para la detección automática de la enfermedad de Parkinson Nonlinear dynamics and Poincaré sections to model gait impairments in different stages of Parkinson’s disease Analysis and evaluation of handwriting in patients with Parkinson’s disease using kinematic, geometrical, and non-linear features Multimodal I-vectors to Detect and Evaluate Parkinson's Disease Emotion recognition from speech with acoustic, non-linear and wavelet-based features extracted in different acoustic conditions
