NDLI: Gesture therapy: A vision-based system for upper extremity stroke rehabilitation

Content Provider	IEEE Xplore Digital Library
Author	Sucar, L.E. Luis, R. Leder, R. Hernández, J. Sánchez, I.
Copyright Year	2010
Description	Author affiliation: Instituto Nacional de Neurología y Neurocirujía, Mexico City, Mexico (Hernández, J.; Sánchez, I.) \|\| Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro #1, Tonantzintla, Puebla, Mexico (Sucar, L.E.; Luis, R.) \|\| Universidad Nacional Aut ónoma de México, Ciudad Universitaria, Mexico City, Mexico (Leder, R.)
Abstract	Stroke is the main cause of motor and cognitive disabilities requiring therapy in the world. Therefor it is important to develop rehabilitation technology that allows individuals who had suffered a stroke to practice intensive movement training without the expense of an always-present therapist. We have developed a low-cost vision-based system that allows stroke survivors to practice arm movement exercises at home or at the clinic, with periodic interactions with a therapist. The system integrates a virtual environment for facilitating repetitive movement training, with computer vision algorithms that track the hand of a patient, using an inexpensive camera and a personal computer. This system, called Gesture Therapy, includes a gripper with a pressure sensor to include hand and finger rehabilitation; and it tracks the head of the patient to detect and avoid trunk compensation. It has been evaluated in a controlled clinical trial at the National Institute for Neurology and Neurosurgery in Mexico City, comparing it with conventional occupational therapy. In this paper we describe the latest version of the Gesture Therapy System and summarize the results of the clinical trail.
Starting Page	3690
Ending Page	3693
File Size	755018
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5627458
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Medical treatment Grippers Tracking Virtual environment Face Image color analysis Games
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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