Movement analysis

Multimodal I-vectors to Detect and Evaluate Parkinson's Disease

Parkinson's Disease (PD) is a neurodegenerative disorder characterized by a variety of motor symptoms. PD patients show several motor deficits, including speech deficits, impaired handwriting and gait disturbances. In this work we propose a …

Representaciones tiempo-frecuencia basadas en sensores inerciales para caracterizar la marcha en la enfermedad de Parkinson

La Enfermedad de Parkinson (EP) es un desorden neurodegenerativo del sistema nervioso central, cuyas características principales incluyen entre otras la rigidez, bradicinesia y pérdida de los reflejos posturales. El diagnóstico de la EP está basado …

Multi-view representation learning via GCCA for multimodal analysis of Parkinson's disease

Information from different bio-signals such as speech, handwriting, and gait have been used to monitor the state of Parkinson's disease (PD) patients, however, all the multimodal bio-signals may not always be available. We propose a method based on …