Robotics-based Characterization of Sensorimotor Integration in Parkinson's Disease and the Effect of Medication

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 31; p. 1
• Main Authors: Tamilselvam, Yokhesh K, Jog, Mandar S., Patel, Rajni V
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Abnormalities; Drugs; Feature extraction; Female; Humans; Impairment; KINARM Endpoint Robot; Kinematics; Learning; Machine Learning; Male; Medical diagnosis; Medical diagnostic imaging; Middle Aged; Motor skill; Motor skill learning; Motor task performance; Movement disorders; Neurodegenerative diseases; Parkinson Disease - drug therapy; Parkinson's disease; Robot sensing systems; Robotics; Sensorimotor Integration; Sensory integration; Task analysis; Task Performance and Analysis; Testing; Virtual environments; Virtual reality; Visualization

Integration of multi-modal sensory inputs and modulation of motor outputs based on perceptual estimates is called Sensorimotor Integration (SMI). Optimal functioning of SMI is essential for perceiving the environment, modulating the motor outputs, and learning or modifying motor skills to suit the d...