Representaciones en Tiempo-Frecuencia en señales de marcha para la detección automática de la enfermedad de Parkinson Marlon Estiben Bedoya-Vargas Aug 10, 2019 PDF Slides movement analysis Wavelets inertial sensors Related Gait Assessment of Patients with Parkinson’s Disease using Inertial Sensors and Non-Linear Dynamics 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 Wavelet-based time-frequency representations for automatic recognition of emotions from speech Multimodal assessment of Parkinson's disease: a deep learning approach
