Abstract
Several technologies and tools have been proposed to assist rehabilitation team in performing exercises. They can help rehabilitation specialists to manage more patients when practicing their exercises, either in presence or remotely. They also make it possible to support patients to do parts of the program at home. Few contributions deal with supporting to the engineering of training platforms for post-stroke rehabilitation. Designers and developers of training platforms for post-stroke rehabilitation do not have a conceptual framework to rely on to develop training Hardware (HW)/Software (SW) platforms. Furthermore, the development and implementation of training platforms for post-stroke rehabilitation requires being able to engineer training platforms with multiple HW and SW components and to engineer coordinated and relevant connections between these components. This paper describes the MUMR (Multi User Multi Role)-MIODMIT technique to design the architecture of the interactive systems for post-stroke rehabilitation training. This technique is based on the MIODMIT description technique for the architecture of interactive systems and enables to describe the main aspects of a post-stroke rehabilitation training platform. The proposed technique is applied to two examples of rehabilitation training platforms.
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References
Albinsson, P.A., Zhai, S.: High precision touch screen interaction. In: Proceedings of the ACM CHI Conference, pp. 105–11 (2003)
Bass, L., et al.: A metamodel for the runtime architecture of an interactive system: the UIMS tool developers workshop. SIGCHI Bull. 24(1), 32–37 (1992)
Brihmat, N., Loubinoux, I., Castel-Lacanal, E., Marque, P., Gasq, D.: Kinematic parameters obtained with the ArmeoSpring for upper-limb assessment after stroke: a reliability and learning effect study for guiding parameter use. J. Neuroeng. Rehabil. 17(1), 130 (2020). https://doi.org/10.1186/s12984-020-00759-2
Canny, A., Bouzekri, E., Martinie, C., Palanque, P.: Rationalizing the need of architecture-driven testing of interactive systems. In: Bogdan, C., Kuusinen, K., Lárusdóttir, M., Palanque, P., Winckler, M. (eds.) HCSE 2018. LNCS, vol. 11262, pp. 164–186. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-05909-5_10
Carayon A., et al.: Engineering rehabilitation: blending two tool-supported approaches to close the loop from tasks-based rehabilitation to exercises and back again. Proc. ACM Hum.-Comput. Interact. 7(EICS), 23 (2023). Article 177. https://doi.org/10.1145/3593229
Cronel, M., Dumas, B., Palanque, P., Canny, A.: MIODMIT: a generic architecture for dynamic multimodal interactive systems. In: Bogdan, C., Kuusinen, K., Lárusdóttir, M., Palanque, P., Winckler, M. (eds.) HCSE 2018. LNCS, vol. 11262, pp. 109–129. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-05909-5_7
Diaper, D., Stanton, N.A.: The Handbook of Task Analysis for Human-Computer Interaction. Lawrence Erlbaum, Mahwah (2004). ISBN 0-8058-4432-5
Fitts, P.: The information capacity of the human motor system in controlling the amplitude of movement. J. Exp. Psychol. 47, 381–391 (1954)
Gijbels, D., Lamers, I., Kerkhofs, L., et al.: The Armeo spring as training tool to improve upper limb functionality in multiple sclerosis: a pilot study. J. Neuroeng. Rehabil. (2011).https://doi.org/10.1186/1743-0003-8-5
Kousidis, S., Kennington, C., Baumann, T., Buschmeier, H., Stefan, K., Schlangen, D.: A multimodal in-car dialogue system that tracks the driver’s attention. In: Proceedings of the 16th International Conference on Multimodal Interaction (ICMI 2014), pp. 26–33. ACM, New York (2014)
Kraleva, R., Kralev, V.: On model architecture for a children’s speech recognition interactive dialog system. In: Proceedings of International Scientific Conference on Mathematics and Natural Sciences (2009). https://arxiv.org/pdf/1605.07733
Kolski, C., Forbrig, P., David, B., Girard, P., Tran, C.H.I.D.U.N.G., Ezzedine, H.: Agent-based architecture for interactive system design: current approaches. Perspect. Eval. 5610, 624–633 (2009). https://doi.org/10.1007/978-3-642-02574-7_70
Langhorne, P., Bernhardt, J., Kwakkel, G.: Stroke rehabilitation. Lancet 377, 1693–1702 (2011). https://doi.org/10.1016/s0140-6736(11)60325-5
Langhorne, P., Coupar, F., Pollock, A.: Motor recovery after stroke: a systematic review. Lancet Neurol. 8, 741–754 (2009)
Murre, J.M.J., Dros, J.: Replication and analysis of Ebbinghaus’ forgetting curve. PLoS ONE 10(7) (2015). https://doi.org/10.1371/journal.pone.0120644
Olwal, A., Feiner, S.: Rubbing the Fisheye: Precise Touch-Screen Interaction with Gestures and Fisheye Views. Conference Supplement of UIST 2003, pp. 83–84 (2003)
Forbrig, P., Bundea, A., Kühn, M.: Challenges with traditional human-centered design for developing neurorehabilitation software. In: Bernhaupt, R., Ardito, C., Sauer, S. (eds.) HCSE 2022. LNCS, vol. 13482, pp. 44–56. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-14785-2_3
Forbrig, P., Bundea, A., Pedersen, A., Platz, T.: Digitalization of training tasks and specification of the behaviour of a social humanoid robot as coach. In: Bernhaupt, R., Ardito, C., Sauer, S. (eds.) HCSE 2020. LNCS, vol. 12481, pp. 45–57. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-64266-2_3
Rumbaugh, J., Booch, G., Jacobson, I.: The Unified Modeling Language Reference Manual: Covers UML 2.0. Addison-Wesley, Upper Saddle River (2006)
Soukoreff, W., MacKenzie, S.: Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts’ law research in HCI. IJHCS. 61(6), 751–789 (2004)
The top 10 causes of death. In: World Health Organization. https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death. Accessed 26 May 2023
Weiss, T., et al.: Deafferentation of the affected arm: a method to improve rehabilitation? Stroke. 42(5), 1363–1370 (2011). https://pubmed.ncbi.nlm.nih.gov/21454817/
World Stroke Organization. 2022. Global Stroke Fact Sheet 2022. https://www.world-stroke.org/assets/downloads/WSO_Global_Stroke_Fact_Sheet.pdf. Accessed Feb 2023
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Carayon, A., Martinie, C., Palanque, P. (2024). MUMR-MIODMIT: A Generic Architecture Extending Standard Interactive Systems Architecture to Address Engineering Issues for Rehabilitation. In: Harrison, M., et al. Engineering Interactive Computer Systems. EICS 2023 International Workshops and Doctoral Consortium. EICS 2023. Lecture Notes in Computer Science, vol 14517. Springer, Cham. https://doi.org/10.1007/978-3-031-59235-5_4
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