Imperial College London
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DrBennyLo

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Visiting Reader
 
 
 
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Contact

 

+44 (0)20 7594 0806benny.lo Website

 
 
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Location

 

Bessemer BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Zhang:2017:10.1109/bsn.2017.7936020,
author = {Zhang, R and Ravi, D and Yang, G-Z and Lo, BENNY},
doi = {10.1109/bsn.2017.7936020},
publisher = {IEEE},
title = {A personalized air quality sensing system – a preliminary study on assessing the air quality of London Underground stations},
url = {http://dx.doi.org/10.1109/bsn.2017.7936020},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Recent studies have shown that air pollution has a negative impacton people’s health, especially for patients with respiratory  and  cardiac  diseases  (e.g. COPD, asthma,  ischemic heart  disease).  Although  there  are  already many air  quality monitoring stations in major  cities,  such  as  London, these stations  are  sparsely  located, and  the  periodic  collection  of information is insufficient to provide the granularity needed to assess the  environmental  risk for  an  individual (e.g.  to  avoid exacerbation). Wearable  devices,  on  the  other  hand, are  more suitable in this context, providing a better estimation of the air quality in  the  proximity  of  the  person. Therefore,  relevant warnings and  information on health risks can  be provided in real-time. As a proof of concept, we have developed a wearable sensor  for  continuous  monitoring  of  air  quality  around  the user,  and  a preliminarystudy  was  conducted to  validate  the sensor  and assess the air quality in London underground stations.   Based on the PM2.5   (particulate matter with a diameter  of  2.5μm),  temperature  and  location  information,  a model is generated for predicting the air quality of each station at  different  times.  Our  preliminary  results  have  shown  that there  are  significant  differences  in  air  quality among stations and metro lines. It also demonstrates that wearable sensors can provide necessary information for users to make travel arrangements that minimize their exposure to polluted air.
AU  - Zhang,R
AU  - Ravi,D
AU  - Yang,G-Z
AU  - Lo,BENNY
DO  - 10.1109/bsn.2017.7936020
PB  - IEEE
PY  - 2017///
TI  - A personalized air quality sensing system – a preliminary study on assessing the air quality of London Underground stations
UR  - http://dx.doi.org/10.1109/bsn.2017.7936020
UR  - http://hdl.handle.net/10044/1/48037
ER  -
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