Capture, learning, and classification of upper extremity movement primitives in healthy controls and stroke patients

• Published in: IEEE International Conference on Rehabilitation Robotics Vol. 2017; pp. 547 - 554
• Main Authors: Guerra, Jorge, Uddin, Jasim, Nilsen, Dawn, Mclnerney, James, Fadoo, Ammarah, Omofuma, Isirame B., Hughes, Shatif, Agrawal, Sunil, Allen, Peter, Schambra, Heidi M.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: United States IEEE 01.07.2017
• Subjects: Accelerometers; Extremities; Hidden Markov models; Motion segmentation; Sensors; Three-dimensional displays; Training

There currently exist no practical tools to identify functional movements in the upper extremities (UEs). This absence has limited the precise therapeutic dosing of patients recovering from stroke. In this proof-of-principle study, we aimed to develop an accurate approach for classifying UE function...