research-article

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

Authors:

Fatmah Bamashmoos,

Pete Woznowski,

Theo TryfonasAuthors Info & Claims

PETRA '18: Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference

Pages 470 - 475

https://doi.org/10.1145/3197768.3201559

Published: 26 June 2018 Publication History

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.

References

[1]

2016. WHO | Ambient (outdoor) air quality and health. WHO. (2016).

[2]

M. Kampa and E. Castanas 2008. Human health effects of air pollution. Environmental Pollution. 151, 2 (Jan. 2008), 362--367.

[3]

R. Zhang, D. Ravi, G.-Z. Yang and B. Lo 2017. A personalized air quality sensing system - a preliminary study on assessing the air quality of London underground stations. 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (May 2017), 111--114.

[4]

J.J. Li, B. Faltings, O. Saukh, D. Hasenfratz and J. Beutel 2012. Sensing the air we breathe: the opensense Zurich dataset. Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence. AAAI Press.

Digital Library

[5]

Foobot Home Air Quality Monitor - Better Air, Better Life: https://foobot.io/. Accessed: 2018-03-26.

[6]

B. Predic, Zhixian Yan, J. Eberle, D. Stojanovic and K. Aberer 2013. ExposureSense: Integrating daily activities with air quality using mobile participatory sensing. 2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops) (Mar. 2013), 303--305.

[7]

A. de Nazelle, E. Seto, D. Donaire-Gonzalez, M. Mendez, J. Matamala, M.J. Nieuwenhuijsen and M. Jerrett 2013. Improving estimates of air pollution exposure through ubiquitous sensing technologies. Environmental Pollution. 176, (May 2013), 92--99.

[8]

Air Quality Monitoring Equipment: Ambient Pollution Sensors: https://www.aeroqual.com/. Accessed: 2018-03-26.

[9]

Tzoa wearable turns you into a walking air-quality sensor - CNET: 2014. https://www.cnet.com/news/tzoa-wearable-turns-you-into-a-walking-air-quality-sensor/. Accessed: 2018-03-26.

[10]

Air Quality Egg: https://airqualityegg.wickeddevice.com/. Accessed: 2018-03-26.

[11]

Most Advanced Air Quality Sensor | Know Your Air With uHoo: https://uhooair.com/. Accessed: 2018-03-26.

[12]

AirCasting: http://aircasting.org/. Accessed: 2018-03-26.

[13]

Air.Air! ~ Portable Air Quality Detector by Air.Air! --- Kickstarter: https://www.kickstarter.com/projects/1886143677/airair-portable-air-quality-detector. Accessed: 2018-03-26.

[14]

LaserEgg 2 - Air Quality Monitor compatible with Apple HomeKit: https://www.laseregg.uk/shop/laseregg-2-smart-air-quality-monitor/. Accessed: 2018-03-26.

[15]

AWAIR | Know what's in the air you breathe -- AwairUK: https://getawair.co.uk/. Accessed: 2018-03-26.

[16]

2013. WHO | Asthma. WHO. (2013).

[17]

Asthma | Guidance and guidelines | NICE.

[18]

J.A. Bellanti and R.A. Settipane 2015. Addressing the challenges of severe asthma. Allergy and asthma proceedings. 36, 4 (2015), 237--9.

[19]

Airsonia - Nicholson Design: https://www.nicholsondesign.com.au/portfolio/airsonia/. Accessed: 2018-03-26.

[20]

Propeller Health | Digital Asthma and COPD Management: https://www.propellerhealth.com/. Accessed: 2018-03-26.

[21]

Myspiroo. Take Your Breath: http://www.myspiroo.com/. Accessed: 2018-03-26.

[22]

Smart Peak Flow - Asthma Control In Your Pocket: http://www.smartpeakflow.com/. Accessed: 2018-03-26.

[23]

A. Sheth, P. Anantharam and K. Thirunarayan 2014. kHealth: Proactive Personalized Actionable Information for Better Healthcare. Workshop on Personal Data Analytics in the Internet of Things (Hangzhou, China, 2014).

Cited By

Nyenhuis SCramer EGrande MHuntington-Moskos LKrueger KBimbi OPolivka BEldeirawi K(2022)Utilizing Real-time Technology to Assess the Impact of Home Environmental Exposures on Asthma Symptoms: Protocol for an Observational Pilot StudyJMIR Research Protocols10.2196/3988711:8(e39887)Online publication date: 2-Aug-2022
https://doi.org/10.2196/39887
Gupta MEden G(2022)The Human-Air Interface: Responding To Poor Air Quality Through Lived Experience and Digital InformationProceedings of the 2022 ACM Designing Interactive Systems Conference10.1145/3532106.3533563(1085-1098)Online publication date: 13-Jun-2022
https://dl.acm.org/doi/10.1145/3532106.3533563
Bamashmoos FTryfonas T(2019)Towards Asthma Self-Management: An Integrated Ontology Model for Asthma Action Plan2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)10.1109/BIBM47256.2019.8983363(1737-1741)Online publication date: Nov-2019
https://doi.org/10.1109/BIBM47256.2019.8983363

Index Terms

A review of air quality sensing technologies and their potential interfaces with IoT for asthma management
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems
2. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Other conferences

PETRA '18: Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference

June 2018

591 pages

ISBN:9781450363907

DOI:10.1145/3197768

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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NSF: National Science Foundation

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 June 2018

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PETRA '18

PETRA '18: The 11th PErvasive Technologies Related to Assistive Environments Conference

June 26 - 29, 2018

Corfu, Greece

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Cited By

Nyenhuis SCramer EGrande MHuntington-Moskos LKrueger KBimbi OPolivka BEldeirawi K(2022)Utilizing Real-time Technology to Assess the Impact of Home Environmental Exposures on Asthma Symptoms: Protocol for an Observational Pilot StudyJMIR Research Protocols10.2196/3988711:8(e39887)Online publication date: 2-Aug-2022
https://doi.org/10.2196/39887
Gupta MEden G(2022)The Human-Air Interface: Responding To Poor Air Quality Through Lived Experience and Digital InformationProceedings of the 2022 ACM Designing Interactive Systems Conference10.1145/3532106.3533563(1085-1098)Online publication date: 13-Jun-2022
https://dl.acm.org/doi/10.1145/3532106.3533563
Bamashmoos FTryfonas T(2019)Towards Asthma Self-Management: An Integrated Ontology Model for Asthma Action Plan2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)10.1109/BIBM47256.2019.8983363(1737-1741)Online publication date: Nov-2019
https://doi.org/10.1109/BIBM47256.2019.8983363

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