Demo abstract: AsthmaGuide: An ecosystem for asthma monitoring and advice

Ho Kyeong Ra; Asif Salekin; Hee Jung Yoon; Jeremy Kim; Shahriar Nirjon; David J. Stone; Sujeong Kim; Jong Myung Lee; Sang Hyuk Son; John A. Stankovic

doi:10.1145/2809695.2817849

Demo abstract: AsthmaGuide: An ecosystem for asthma monitoring and advice

Ho Kyeong Ra
, Asif Salekin
, Hee Jung Yoon
, Jeremy Kim
, Shahriar Nirjon
, David J. Stone
, Sujeong Kim
, Jong Myung Lee
, Sang Hyuk Son
, John A. Stankovic

Department of Electrical Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

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.

Original language	English
Title of host publication	SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems
Publisher	Association for Computing Machinery, Inc
Pages	451-452
Number of pages	2
ISBN (Electronic)	9781450336314
DOIs	https://doi.org/10.1145/2809695.2817849
State	Published - 1 Nov 2015
Event	13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015 - Seoul, Korea, Republic of Duration: 1 Nov 2015 → 4 Nov 2015

Publication series

Name	SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems

Conference

Conference	13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015
Country/Territory	Korea, Republic of
City	Seoul
Period	1/11/15 → 4/11/15

Bibliographical 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).

Keywords

Advice
Asthma ecosystem
Environment

Access to Document

10.1145/2809695.2817849

Cite this

Ra, H. K., Salekin, A., Yoon, H. J., Kim, J., Nirjon, S., Stone, D. J., Kim, S., Lee, J. M., Son, S. H., & Stankovic, J. A. (2015). Demo abstract: AsthmaGuide: An ecosystem for asthma monitoring and advice. In SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems (pp. 451-452). (SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems). Association for Computing Machinery, Inc. https://doi.org/10.1145/2809695.2817849

Ra, Ho Kyeong ; Salekin, Asif ; Yoon, Hee Jung et al. / Demo abstract : AsthmaGuide: An ecosystem for asthma monitoring and advice. SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems. Association for Computing Machinery, Inc, 2015. pp. 451-452 (SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems).

@inproceedings{81ce7593f7804521869dc9d52b8422f3,

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",

series = "SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems",

publisher = "Association for Computing Machinery, Inc",

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Ra, HK, Salekin, A, Yoon, HJ, Kim, J, Nirjon, S, Stone, DJ, Kim, S, Lee, JM, Son, SH & Stankovic, JA 2015, Demo abstract: AsthmaGuide: An ecosystem for asthma monitoring and advice. in SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems. SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, Association for Computing Machinery, Inc, pp. 451-452, 13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015, Seoul, Korea, Republic of, 1/11/15. https://doi.org/10.1145/2809695.2817849

Demo abstract: AsthmaGuide: An ecosystem for asthma monitoring and advice. / Ra, Ho Kyeong; Salekin, Asif; Yoon, Hee Jung et al.
SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems. Association for Computing Machinery, Inc, 2015. p. 451-452 (SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Demo abstract

T2 - 13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015

AU - Ra, Ho Kyeong

AU - Salekin, Asif

AU - Yoon, Hee Jung

AU - Kim, Jeremy

AU - Nirjon, Shahriar

AU - Stone, David J.

AU - Kim, Sujeong

AU - Lee, Jong Myung

AU - Son, Sang Hyuk

AU - Stankovic, John A.

N1 - 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).

PY - 2015/11/1

Y1 - 2015/11/1

N2 - 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.

AB - 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.

KW - Advice

KW - Asthma ecosystem

KW - Environment

UR - https://www.scopus.com/pages/publications/84962858113

U2 - 10.1145/2809695.2817849

DO - 10.1145/2809695.2817849

M3 - Conference contribution

AN - SCOPUS:84962858113

T3 - SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems

SP - 451

EP - 452

BT - SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems

PB - Association for Computing Machinery, Inc

Y2 - 1 November 2015 through 4 November 2015

ER -

Ra HK, Salekin A, Yoon HJ, Kim J, Nirjon S, Stone DJ et al. Demo abstract: AsthmaGuide: An ecosystem for asthma monitoring and advice. In SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems. Association for Computing Machinery, Inc. 2015. p. 451-452. (SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems). doi: 10.1145/2809695.2817849

Demo abstract: AsthmaGuide: An ecosystem for asthma monitoring and advice

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Publication series

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Bibliographical note

Keywords

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