TY - GEN
T1 - mobileSpiro
T2 - 1st ACM Workshop on Mobile Systems, Applications, and Services for Healthcare, mHealthSys 2011, Co-held with ACM SenSys 2011
AU - Gupta, Siddharth
AU - Chang, Peter
AU - Anyigbo, Nonso
AU - Sabharwal, Ashutosh
PY - 2011
Y1 - 2011
N2 - Effective management of asthma and other respiratory diseases requires constant monitoring and frequent data collection using a spirometer and longitudinal analysis. However, even after three decades of clinical use, there are very few personalized spirometers available on the market, especially those connecting to smartphones. To address this problem, we have developed mobileSpiro, a portable, low-cost spirometer intended for patient self-monitoring. The mobile-Spiro API, and the accompanying Android application, interfaces with the spirometer hardware to capture, process and analyze the data. Our key contributions are automated algorithms on the smartphone which play a technician's role in detecting erroneous patient maneuvers, ensuring data quality, and coaching patients with easy-to-understand feedback, all packaged as an Android app. We demonstrate that mobileSpiro is as accurate as a commercial ISO13485 device, with an inter-device deviation in flow reading of less than 8%, and detects more than 95% of erroneous cough maneuvers in a public CDC dataset.
AB - Effective management of asthma and other respiratory diseases requires constant monitoring and frequent data collection using a spirometer and longitudinal analysis. However, even after three decades of clinical use, there are very few personalized spirometers available on the market, especially those connecting to smartphones. To address this problem, we have developed mobileSpiro, a portable, low-cost spirometer intended for patient self-monitoring. The mobile-Spiro API, and the accompanying Android application, interfaces with the spirometer hardware to capture, process and analyze the data. Our key contributions are automated algorithms on the smartphone which play a technician's role in detecting erroneous patient maneuvers, ensuring data quality, and coaching patients with easy-to-understand feedback, all packaged as an Android app. We demonstrate that mobileSpiro is as accurate as a commercial ISO13485 device, with an inter-device deviation in flow reading of less than 8%, and detects more than 95% of erroneous cough maneuvers in a public CDC dataset.
UR - http://www.scopus.com/inward/record.url?scp=83155173576&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=83155173576&partnerID=8YFLogxK
U2 - 10.1145/2064942.2064944
DO - 10.1145/2064942.2064944
M3 - Conference contribution
AN - SCOPUS:83155173576
SN - 9781450306843
T3 - mHealthSys 2011 - Proceedings of the 1st ACM Workshop on Mobile Systems, Applications, and Services for HealthCare - Co-held with ACM SenSys 2011
BT - mHealthSys 2011 - Proceedings of the 1st ACM Workshop on Mobile Systems, Applications, and Services for HealthCare - Co-held with ACM SenSys 2011
Y2 - 1 November 2011 through 1 November 2011
ER -