TY - GEN
T1 - Evaluating the post-stroke patients progress using an augmented reality rehabilitation system
AU - Alamri, Atif
AU - Cha, Jongeun
AU - Eid, Mohamad
AU - Saddik, Adbulmotaleb El
PY - 2009
Y1 - 2009
N2 - A stroke has been considered one of the leading causes of death in the world. Survivors suffer from major or minor disabilities in their motor functions so that they are unable to carry on their daily activities, therefore, they go through a rehabilitation process to recover their motor abilities up to a certain point. Recently, the fields of virtual reality and haptic have been investigated for use in rehabilitation. In this paper, we propose a novel approach based on Augmented Reality (AR) technology with two main goals as driving forces: First, the system enhances the patient involvement in the rehabilitation exercise, and second, the system measures the patient performance without the direct supervision of a therapist. We called this system AR-REHAB, for Augmented Reality REHABilitation. In addition, the system is empowered with an intelligent decision support engine to assess the patients' progress to help therapists fine-tune the exercises based on the patient's progress.
AB - A stroke has been considered one of the leading causes of death in the world. Survivors suffer from major or minor disabilities in their motor functions so that they are unable to carry on their daily activities, therefore, they go through a rehabilitation process to recover their motor abilities up to a certain point. Recently, the fields of virtual reality and haptic have been investigated for use in rehabilitation. In this paper, we propose a novel approach based on Augmented Reality (AR) technology with two main goals as driving forces: First, the system enhances the patient involvement in the rehabilitation exercise, and second, the system measures the patient performance without the direct supervision of a therapist. We called this system AR-REHAB, for Augmented Reality REHABilitation. In addition, the system is empowered with an intelligent decision support engine to assess the patients' progress to help therapists fine-tune the exercises based on the patient's progress.
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U2 - 10.1109/MEMEA.2009.5167961
DO - 10.1109/MEMEA.2009.5167961
M3 - Conference contribution
AN - SCOPUS:70449645186
SN - 9781424435999
T3 - 2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009
SP - 89
EP - 94
BT - 2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009
T2 - 2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009
Y2 - 29 May 2009 through 30 May 2009
ER -