As more of us live in urban  areas, the ability to monitor and assess air quality becomes increasingly important for public health authorities. In particular, increased air pollution has been linked to increased rates of asthma. This project application aims to monitor air pollution in traffic by using mobile phones to create a “Pollution and Noise map”  of Riyadh, Saudi Arabia.  It also promotes social networking in a local community through the provision  of a Web portal  that  facilitates  back-end sharing of real-time environmental and archived data.

Furthermore we are working on a personalized asthma-monitoring system that lets asthma  specialists and allergists investigate  the relationships between personal  exposure  to air pollution  and  the prevalence  of asthma and respiratory symptoms. Our smart phone  application analyzes,  in  real time, measurements from medical devices such  as asthma  peak-flow  and pollution data  through wireless sensors and combines  them with the patient’s current  location. The system is also capable  of monitoring a person’s asthma  condition and remotely  alerting medical staff if the patient experiences an asthma  attack.  This method could  help people  reduce  their  anxiety by managing  their exposure  to air pollution when levels are moderate or high.

Members

Dr. Eiman Kanjo

Nourah Al-hakbani (PhD student)
Monirah Alajlan
Nada Al-Zahrani
Nouf Al Jwiser
Nourah Alqwifly
Dalal aldowaihi 

mBreath team will present their work at the 2nd Annual Research Poster Competition for Undergraduates, Kaust. This competitive research poster event is part of the university's Winter Enrichment Program, being held this year from January 12-30, 2013.

M. AlAjlan., D. Al-dowaihi, N. Al-Zahrani, N. Al-qwifly. and E. Kanjo, "Mbreath: Asthma Monitoring On the Go," in IEEE International Conference on medical Applications ICCMA, Tunisia, 2013.

Kanjo, E., "NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mapping", Mobile Networks and Applications Journal, vol. 15, issue 4, pp. 562 - 574 , 2010.

Kanjo, E., P. Landshoff, D. Roberts, and J. Bacon, "MobSens: Making Smart Phones Smarter ", IEEE Pervasive Computing, vol. 8, issue 4, pp. 50-57, 2009.

Kanjo, E., S. Benford, A. Woolard, M. Paxton, D. Woodgate, and D S. Fraser, "MobGeoSens: Facilitating Personal MobGeoSensor data collection and visualisation using mobile phones", Personal ubiquitous computing Journa, vol. 12, issue 8, pp. 599 - 607 , 2008.