Abstract
Patient treatment is the main role of the current medical sphere. A patient is monitored during the diagnosis process, during the treatment, and after the main treatment phase. Effective administration of all examinations and measurements is required. The patient is usually monitored by sensors that produce data of varying frequency, accuracy, and reliability. This paper discusses how to store complex data in the database, evaluate, and provide them to doctors and expert systems. The most important task is the efficiency and reliability of data along with the monitoring and identification of significant changes. We propose a solution consisting of a three-level temporal architecture and a fingerprint key. Thanks to that, system resources demands are lowered. We also discuss and propose new access rules dealing with state collisions.
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Acknowledgements
This publication is the result of the project implementation:
Centre of excellence for systems and services of intelligent transport II., ITMS 26220120050 supported by the Research & Development Operational Programme funded by the ERDF. This work was also supported by Grant system of the University of Zilina.
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Kvet, M., Matiasko, K. (2019). Innovation for Medical Sensor Data Processing and Evaluation. In: Chen, YW., Zimmermann, A., Howlett, R., Jain, L. (eds) Innovation in Medicine and Healthcare Systems, and Multimedia. Smart Innovation, Systems and Technologies, vol 145. Springer, Singapore. https://doi.org/10.1007/978-981-13-8566-7_32
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DOI: https://doi.org/10.1007/978-981-13-8566-7_32
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