Abstract
The raise of chronic diseases poses a challenge for the health care sector worldwide. In many cases, diseases are affected by an environmental component that, until now, could be hardly controlled. However, with the recent advances in information and communication technologies applied to cities, it becomes possible to collect real-time environmental data and use them to provide chronic patients with recommendations able to adapt to the changing environmental conditions.
In this article, we study the use of the sensing capabilities of the so-called smart cities in the context of the recently proposed concept of Smart Health. In this context, we propose a way to exploit the relation between environmental factors and diseases, and we show how to obtain a comfort level for patients. Moreover, we study the application of our proposal to outdoor exercises and rehabilitative activities related to the treatment of Chronic Obstructive Pulmonary Disease.
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Notes
- 1.
This study is for children.
- 2.
EU pollution scale (www.airqualitynow.eu) determines the pollution levels: very low (0ā25), low (25ā50), medium (50ā75), high (75ā100), and very high (\({>}\)100).
- 3.
Borg scale [15] provides a scale of 10 values with 0 meaning no breathless at all, 10 maximal breathless, and values 2 and 7 representing slight breathlessness and very severe breathlessness, respectively.
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RiaƱo, D., Solanas, A. (2014). Exploiting the Relation Between Environmental Factors and Diseases: A Case Study on Chronic Obstructive Pulmonary Disease. In: Miksch, S., RiaƱo, D., ten Teije, A. (eds) Knowledge Representation for Health Care. KR4HC 2014. Lecture Notes in Computer Science(), vol 8903. Springer, Cham. https://doi.org/10.1007/978-3-319-13281-5_12
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