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Conceptual Definition of a Platform for the Monitoring of the Subjects with Nephrolithiasis Based on the Energy Expenditure and the Activities of Daily Living Performed

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 887))

Abstract

Nephrolithiasis disease is commonly related with the low activity performance, i.e., the regular performance of physical activity can reduce the risk of kidney stones. Sensors available in off-the-shelf mobile devices may handle the control and recognition of the activities performed, including the energy expenditure and their identification. This paper identifies the common values that should be measured during the treatment of this disease, including water consumption (with regular registration), daily calories intake (defined by a professional) and urinary pH (measured with test strips), which may be combined with the measurement of the energy expenditure and the activities performed. As the treatment and prevention of the Nephrolithiasis disease includes the performance of hard physical activity and the regular trip to the toilet, where this identification provides a control of the evolution of the treatment. The combination of these concepts and the use of the technology may increase the control and speed of the treatment.

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Acknowledgements

This work was supported by FCT project UID/EEA/50008/2013 (Este trabalho foi suportado pelo projecto FCT UID/EEA/50008/2013).

The authors would also like to acknowledge the contribution of the COST Action IC1303 – AAPELE – Architectures, Algorithms and Protocols for Enhanced Living Environments.

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Correspondence to Ivan Miguel Pires .

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Pires, I.M., Valente, T., Pombo, N., Garcia, N.M. (2018). Conceptual Definition of a Platform for the Monitoring of the Subjects with Nephrolithiasis Based on the Energy Expenditure and the Activities of Daily Living Performed. In: Bajo, J., et al. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018. Communications in Computer and Information Science, vol 887. Springer, Cham. https://doi.org/10.1007/978-3-319-94779-2_1

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  • DOI: https://doi.org/10.1007/978-3-319-94779-2_1

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  • Online ISBN: 978-3-319-94779-2

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