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Novel robotic system measures arm use for better therapy in stroke patients

AI to track arm movements after stroke, helping survivors regain strength and independence

28-Nov-2023

Key points from article :

Novel robotic arm tracks 3D arm movements of stroke patients.

Machine learning analyzes data to create an "arm nonuse" metric.

Socially assistive robot motivates and guides participants.

14 participants tested, showing significant variability in hand use.

System deemed safe, easy to use, and with high user experience scores.

Future research may personalize assessments using facial expressions and diverse tasks.

Technology could provide objective data to physiotherapists for better treatment planning.

Study by Maja Mataric from University of Southern California, published in Science Robotics.

Mentioned in this article:

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Maja Mataric

Chan Soon-Shiong distinguished professor of Computer Science, Neuroscience, and Pediatrics at the University of Southern California

Science Robotics

Journal providing information in the field of robotics.

University of Southern California (USC)

Private multidisciplinary research university.

Topics mentioned on this page:
Stroke, Medical Technology
Novel robotic system measures arm use for better therapy in stroke patients