Development of Robotic Arm Rehabilitation Machine with Biofeedback That Addresses the Question on Fi

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Authors: Matthew Ang, Luke LimkaichongAffiliated withManufacturing Engineering and Management Department, De La Salle University, Winston Perez, Lyka Sayson, Nikka Tampo, Nilo Bugtai, Eppie Estanislao-Clark

Abstract Many robotic systems have been developed for assisting rehabilitating stroke patients. Their failure lies on the system design’s inability to motivate the patients to voluntarily conduct different activities that could stretch the impaired arm to its limit and help improve its condition. This paper presents the development of a robotic arm which allows the stroke patients’ active involvement in their rehabilitation through real-time biofeedback. It also evaluates the condition of the patients based on their performance and sends this feedback so therapists or doctors can monitor patients’ improvements. This project espoused a recommended strategy on patient motivation, that is, to embed therapy within the framework that provides patients with monitoring and interaction with therapists. Initiated for the needs of Filipino stroke patients, this paper presents its acceptability in the light of Filipino values.

Book Title: Social Robotics

Book Subtitle: Second International Conference on Social Robotics, ICSR 2010, Singapore, November 23-24, 2010. Proceedings

Pages: pp 401-409

Copyright: 2010

DOI: 10.1007/978-3-642-17248-9_42

Print ISBN: 978-3-642-17247-2

Online ISBN: 978-3-642-17248-9

Series Title: Lecture Notes in Computer Science

Series Volume: 6414

Series ISSN: 0302-9743

Publisher: Springer Berlin Heidelberg

Copyright Holder: Springer-Verlag Berlin Heidelberg