Using Kinect to classify Parkinson’s disease stages related to severity of gait impairment
Lopez de Abetxuko Ruiz de Mendarozketa, Alfredo Goñi
Navalpotro Gomez, Irene
Delgado Alvarado, Manuel
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Dranca, L., de Abetxuko Ruiz de Mendarozketa, L., Goñi, A., Illarramendi, A., Navalpotro Gomez, I., Manuel Delgado-Alvarado, M., & Rodríguez-Oroz, M.C. (2018). Using Kinect to classify Parkinson’s disease stages related to severity of gait impairment. BMC Bioinformatics, 19: 471. Doi.:10.1186/s12859-018-2488-4
Parkinson’s Disease (PD) is a chronic neurodegenerative disease associated with motor problems such as gait impairment. Different systems based on 3D cameras, accelerometers or gyroscopes have been used in related works in order to study gait disturbances in PD. Kinect Ⓡ has also been used to build these kinds of systems, but contradictory results have been reported: some works conclude that Kinect does not provide an accurate method of measuring gait kinematics variables, but others, on the contrary, report good accuracy results.