Abstract
The use-case described in this paper covers data acquisition and real-time analysis of the gathered medical data from wearable sensor system. Accumulated data is essential for monitoring vital signs and tracking the dynamics of the treatment process of disabled patients or patients undergoing the recovery after traumatic knee joint injury (e.g. post-operative rehabilitation). The main goal of employing the wearable sensor system is to conduct rehabilitation process more effectively and increase the rate of successful rehabilitation. The results of data analysis of patient’s vital signs and feedback allow a physiotherapist to adjust the rehabilitation scenario on the fly. In this paper, we focus on the methodology for data modelling with a purpose to design a computer-aided rehabilitation system that would support agility of changing information requirements by being flexible and augmentable.
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Kozmina, N., Syundyukov, E., Kozmins, A. (2017). Data Modelling for Dynamic Monitoring of Vital Signs: Challenges and Perspectives. In: de Cesare, S., Frank, U. (eds) Advances in Conceptual Modeling. ER 2017. Lecture Notes in Computer Science(), vol 10651. Springer, Cham. https://doi.org/10.1007/978-3-319-70625-2_2
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DOI: https://doi.org/10.1007/978-3-319-70625-2_2
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