Abstract
In traditional rehabilitation a therapist is observing and modifying various kinds of states of a patient. Therefore, to develop a system to help with tasks of therapist, we are facing a complex problem: how to integrate the various devices with diverse inputs and outputs to function as one system? In this paper we represent a systematic approach to build neuro-rehabilitation systems with an integration framework. We discuss a system design issues related to performance and the demanding requirements of rehabilitation. The introduced framework is available for download at: https://github.com/riken-ibcu/bclab.
This study was supported by TOYOTA Motor Corporation.
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References
Sherlin, L.H., Arns, M., Lubar, J., Heinrich, H., Kerson, C., Strehl, U., Sterman, M.B.: Neurofeedback and basic learning theory: implications for research and practice. J. Neurother. 15(4), 292–304 (2011)
Bäumer, D., Gryczan, G., Knoll, R., Lilienthal, C., Riehle, D., Züllighoven, H.: Framework development for large systems. Commun. ACM 40(10), 52–59 (1997)
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Itkonen, M., Okajima, S., Yamasaki, H., Costa, Á., Shimoda, S. (2019). Orchestration of Sensors and Actuators in Neuro-Rehabilitation Experiments and Practice. In: Masia, L., Micera, S., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018. Biosystems & Biorobotics, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-030-01845-0_89
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DOI: https://doi.org/10.1007/978-3-030-01845-0_89
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