Using Features Extracted From Upper Limb Reaching Tasks to Detect Parkinson’s Disease by Means of Machine Learning Models
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2023.3236834
Abstract: While in the literature there is much interest in investigating lower limbs gait of patients affected by neurological diseases, such as Parkinson’s Disease (PD), fewer publications involving upper limbs movements are available. In previous studies,… read more here.
Keywords: reaching tasks; features extracted; parkinson disease; machine learning ... See more keywords
On the Impact of Gravity Compensation on Reinforcement Learning in Goal-Reaching Tasks for Robotic Manipulators
Sign Up to like & getrecommendations! Published in 2021 at "Robotics"
DOI: 10.3390/robotics10010046
Abstract: Advances in machine learning technologies in recent years have facilitated developments in autonomous robotic systems. Designing these autonomous systems typically requires manually specified models of the robotic system and world when using classical control-based strategies,… read more here.
Keywords: based strategies; reinforcement learning; gravity compensation; reaching tasks ... See more keywords