Analysis of Detecting Compensation for Robotic Stroke Rehabilitation Therapy using Imbalanced Learning and Outlier Detection

• Main Authors: Uy, Sean Rich U, Abu, Patricia Angela R
• Format: text
• Published: Archīum Ateneo 2020
• Subjects: Medical treatment; Robots; Anomaly detection; Muscles; Support vector machines; Tools; Machine vision; imbalanced learning; imbalance dataset; machine learning; stroke rehabilitation; posture classification; outlier detection; Analytical, Diagnostic and Therapeutic Techniques and Equipment; Artificial Intelligence and Robotics; Computer Sciences; Databases and Information Systems; Neurology
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/274; https://ieeexplore.ieee.org/document/9064992
• Institution: Ateneo De Manila University

Stroke therapy is essential to reduce impairments and improve the motor movements of stroke survivors, however sessions can be expensive, time consuming, and geographically limited. Robotic stroke therapy seeks to remedy the limitations of traditional stroke therapy, but it is hampered by incorrect...