@inproceedings{9b8b63b38e594f0986308296871ba273,
title = "Demo abstract: AsthmaGuide: An ecosystem for asthma monitoring and advice",
abstract = "AsthmaGuide is a smartphone and cloud based asthma system in which a smart phone is used as a hub for collecting a comprehensive collection of information. The data, including data over time, is then displayed in a cloud web application for both patients and healthcare providers to view. AsthmaGuide also provides an advice and alarm infrastructure based on the collected data and parameters set by healthcare providers. With these components, AsthmaGuide provides a comprehensive ecosystem that allows patients to be involved in their own health and also allows doctors to provide more effective day to day care. Using real asthma patient wheezing sounds we develop a new combination of classifiers that is 96% accurate at automatically detecting wheezing. This abstract provides an overview of the design and implementation of AsthmaGuide and provides empirical evidence that AsthmaGuide is 3% - 11% more accurate in detecting wheezing sounds than standard techniques.",
keywords = "Advice, Asthma ecosystem, Environment",
author = "Ra, {Ho Kyeong} and Asif Salekin and Yoon, {Hee Jung} and Jeremy Kim and Shahriar Nirjon and Stone, {David J.} and Sujeong Kim and Lee, {Jong Myung} and Son, {Sang Hyuk} and Stankovic, {John A.}",
note = "Funding Information: This work was supported, in part, by NSF grant CNS-1319302, the DGIST Research and Development Program of the Ministry of Science, ICT and Future Planning of Korea (CPS Global Center), and Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korean government (MSIP) (No. B0101-15-0557, Resilient Cyber-Physical Systems Research).; 13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015 ; Conference date: 01-11-2015 Through 04-11-2015",
year = "2015",
month = nov,
day = "1",
doi = "10.1145/2809695.2817849",
language = "English (US)",
series = "SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems",
publisher = "Association for Computing Machinery, Inc",
pages = "451--452",
booktitle = "SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems",
}