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A review of air quality sensing technologies and their potential interfaces with IoT for asthma management

Authors: Fatmah Bamashmoos; Pete Woznowski; Theo Tryfonas;

A review of air quality sensing technologies and their potential interfaces with IoT for asthma management

Abstract

In recent years significant advancement has been achieved on the domain of assessing air quality and monitoring the condition of asthma based on sensing technology. The pervasiveness of relevant devices could have a powerful impact on enabling patients self-monitoring and increasing public awareness on the air they breathe. In this study, we investigated a variety of different sensors devices relevant to the monitoring of air quality and different devices for assessing the condition of asthma. Our approach at this stage has been based on feature comparison based on product specification sheets and published case studies. We found that there is no standardisation among such devices and that in order for someone to deliver a holistic intervention for the management of a condition like asthma, a significant amount of proprietary effort to integrate third party data and technologies would be required. Such a solution would include both typical air quality sensing and asthma indicators monitoring, but also elements to seamlessly integrate sensed data and logic about the management of the condition.

Country
United Kingdom
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Keywords

/dk/atira/pure/core/keywords/digital_health; name=Digital Health, IoT, /dk/atira/pure/core/keywords/digital_health, name=Digital Health, name=SPHERE, Air quality, /dk/atira/pure/core/keywords/eng_sphere, E-Health, Asthma, 620, /dk/atira/pure/core/keywords/eng_sphere; name=SPHERE

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
Green