Abstract
This study designs and proposes an Ontology-oriented Hand-rehabilitation service platform for Rheumatoid Arthritis patients, which is called OH4RA. The OH4RA is composed of rheumatoid arthritis patients and the rehabilitation assessment application service platform. A rheumatoid arthritis patient wears Internet of thing based wearable devices, two rings and a wristband, to detect hand rehabilitation actions. OH4RA helps medical staffs and patients to evaluate rehabilitation injuries. The inference engine is composed of the Ontology and the back propagation neural network to reason out hand rehabilitation critical factors and the mass behavior model of rheumatoid arthritis at the rehabilitation assessment application service platform. OH4RA will automatically modify mass behavior model and combine influence factors to construct ontology-lite for each patient. Evaluation results indicate that OH4RA is with high corrections to evaluate error actions of the finger expansion and the punch movement. Finally, OH4RA can be a reference model for researchers and engineers.
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The research is supported by the Ministry of Science and Technology of the Republic of China (Taiwan) under the grant number MOST 108-2221-E-019-046-MY2.
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Ku, HH. (2020). Design of an Ontology-Oriented Hand Rehabilitation Service Platform for Rheumatoid Arthritis Patients. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2020. Advances in Intelligent Systems and Computing, vol 1150. Springer, Cham. https://doi.org/10.1007/978-3-030-44038-1_16
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DOI: https://doi.org/10.1007/978-3-030-44038-1_16
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