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Design of an Ontology-Oriented Hand Rehabilitation Service Platform for Rheumatoid Arthritis Patients

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Web, Artificial Intelligence and Network Applications (WAINA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1150))

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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References

  1. Boureau, Y.L., Ponce, J., Lecun, Y.: A theoretical analysis of feature pooling in visual recognition. In: Proceedings of the 27th International Conference on Machine Learning, p. 8 (2010)

    Google Scholar 

  2. Egilmez, B., Poyraz, E., Zhou, W., Memik, G., Dinda, P., Alshurafa, N.: UStress: understanding college student subjective stress using wrist-based passive sensing. In: Proceedings of 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, pp. 673–678 (2017)

    Google Scholar 

  3. Hassanin, A.F., Steve, D., Samia, N.M.: Wrist rehabilitation exoskeleton robot based on pneumatic soft actuators. In: Proceedings of the International Conference for Students on Applied Engineering, pp. 491–496 (2016)

    Google Scholar 

  4. Huo, Y., Vincken, K.L., Der Heijde, D.V., Hair, M.J.H.D., Lafeber, F.P., Viergever, M.A.: Automatic quantification of radiographic wrist joint space width of patients with rheumatoid arthritis. IEEE Trans. Biomed. Eng. 64(11), 2695–2703 (2017)

    Article  Google Scholar 

  5. Ito, M., Koyama, Y., Nisiyama, M., Watanabe, K.: Unconstrained wrist rotating motion capture using sensitive tape based on hetero-core fiber optics. In: Proceedings of the IEEE 5th Global Conference on Consumer Electronics, pp. 1–2 (2016)

    Google Scholar 

  6. Jorge, A.A.R., Edgar Alfredo, P.F., Oscar Fernando, A.S., Vladimir, P.J., Eduardo, V.A.: Concurrent design applied to the structural optimization of a wrist rehabilitation system. In: Proceedings of the 14th International Conference on Electrical Engineering, Computing Science and Automatic Control, pp. 1–6 (2017)

    Google Scholar 

  7. Ku, H.H.: C4U: a case-based reasoning system using multi-sensing techniques for the upper body rehabilitation at home. Basic Clin. Pharmacol. Toxicol. 121(S1), 37 (2017)

    Google Scholar 

  8. Ku, H.H., Huang, C.M.: Web2OHS: a web 2.0-based omni-bearing homecare system. IEEE Trans. Inf Technol. Biomed. 14(2), 224–233 (2010)

    Google Scholar 

  9. Mochizuki, T., Yano, K., Ikari, K., Okazaki, K.: Effect of an orthosis on foot center of pressure translation for treatment of hallux valgus in patients with rheumatoid arthritis: a report of 17 cases. Asia-Pac. J. Sport. Med., Arthrosc. Rehabil. Technol. 19, 7–10 (2020)

    Google Scholar 

  10. Rashid, A., Hasan, O.: Wearable technologies for hand joints monitoring for rehabilitation: a survey. Microelectron. J. 88, 173–183 (2019)

    Article  Google Scholar 

  11. Sekhavat, Y.A., Namani, M.S.: Projection-based AR: effective visual feedback in gait rehabilitation. IEEE Trans. Hum. Mach. Syst. 48(6), 626–636 (2018)

    Article  Google Scholar 

  12. Souza, M.A.D., Schmitz, C., Pinhel, M.M., Setti, J.A.P., Nohama, P.: Proposal of custom made wrist orthoses based on 3D modelling and 3D printing. In: Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3789–3792 (2017)

    Google Scholar 

  13. Solís-Peña, M., Villa-Parra, A.C.: Device to guide hand rehabilitation routines based on pressure signals. Procedia Comput. Sci. 160, 659–664 (2019)

    Article  Google Scholar 

  14. Thomas, S.S., Nathan, V., Zong, C., Soundarapandian, K., Shi, X., Jafari, R.: BioWatch: a noninvasive wrist-based blood pressure monitor that incorporates training techniques for posture and subject variability. IEEE J. Biomed. Health Inform. 20(5), 1291–1300 (2016)

    Article  Google Scholar 

  15. Wang, D., Meng, Q., Meng, Q., Li, X., Yu, H.: Design and development of a portable exoskeleton for hand rehabilitation. IEEE Trans. Neural Syst. Rehabil. Eng. 26(12), 2376–2386 (2018)

    Article  Google Scholar 

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Acknowledgments

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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Correspondence to Hao-Hsiang Ku .

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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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