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mCOPD: mobile phone based lung function diagnosis and exercise system for COPD

Published: 29 May 2013 Publication History

Abstract

COPD (Chronic Obstructive Pulmonary Disease) is a serious lung disease that causes difficulty in breathing. COPD patients require lung function examinations and perform breathing exercises on a regular basis in order to manage and be more aware of their health status. In this paper, we designed and developed a mobile-phone based system for lung function diagnosis, called mCOPD. Besides enabling accurate COPD examinations at home, the mCOPD system also offers a video-game based guidance system for breathing exercises. We evaluated mCOPD in controlled and uncontrolled environments with 40 subjects. The experimental results show that our system is a promising tool for remote medical treatment of COPD.

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Cited By

View all
  • (2024)“I know I have this till my Last Breath”: Unmasking the Gaps in Chronic Obstructive Pulmonary Disease (COPD) Care in IndiaProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642504(1-16)Online publication date: 11-May-2024
  • (2023)Detection of Otitis Media With Effusion Using In-Ear Microphones and Machine LearningIEEE Sensors Journal10.1109/JSEN.2023.332109323:22(28411-28420)Online publication date: 15-Nov-2023
  • (2021)Methods for Adventitious Respiratory Sound Analyzing Applications Based on Smartphones: A SurveyIEEE Reviews in Biomedical Engineering10.1109/RBME.2020.300297014(98-115)Online publication date: 2021
  • Show More Cited By

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    cover image ACM Other conferences
    PETRA '13: Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments
    May 2013
    413 pages
    ISBN:9781450319737
    DOI:10.1145/2504335
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    • NSF: National Science Foundation
    • FORTH: Foundation for Research and Technology - Hellas
    • HERACLEIA: HERACLEIA Human-Centered Computing Laboratory at UTA
    • U of Tex at Arlington: U of Tex at Arlington
    • TEI: Technological Educational Institution of Athens
    • UCG: University of Central Greece
    • NCRS: Demokritos National Center for Scientific Research
    • Fulbrigh, Greece: Fulbright Foundation, Greece
    • Ionian: Ionian University, GREECE

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 29 May 2013

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    Author Tags

    1. Android
    2. COPD detection
    3. spirometer
    4. wireless health

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    PETRA '13
    Sponsor:
    • NSF
    • FORTH
    • HERACLEIA
    • U of Tex at Arlington
    • TEI
    • UCG
    • NCRS
    • Fulbrigh, Greece
    • Ionian

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    Cited By

    View all
    • (2024)“I know I have this till my Last Breath”: Unmasking the Gaps in Chronic Obstructive Pulmonary Disease (COPD) Care in IndiaProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642504(1-16)Online publication date: 11-May-2024
    • (2023)Detection of Otitis Media With Effusion Using In-Ear Microphones and Machine LearningIEEE Sensors Journal10.1109/JSEN.2023.332109323:22(28411-28420)Online publication date: 15-Nov-2023
    • (2021)Methods for Adventitious Respiratory Sound Analyzing Applications Based on Smartphones: A SurveyIEEE Reviews in Biomedical Engineering10.1109/RBME.2020.300297014(98-115)Online publication date: 2021
    • (2020)Using Mobiles to Monitor Respiratory DiseasesInformatics10.3390/informatics70400567:4(56)Online publication date: 16-Dec-2020
    • (2020)Evaluating the Gradual Delivery of Knowledge-focused and Mindset-focused Messages for Facilitating the Acceptance of COPDProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34322184:4(1-23)Online publication date: 18-Dec-2020
    • (2020)Microphone based Smartphone enabled Spirometry Data Augmentation using Information Maximizing Generative Adversarial Network2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)10.1109/I2MTC43012.2020.9129308(1-6)Online publication date: May-2020
    • (2020)Evaluating the Effectiveness of Inhaler Use Among COPD Patients via Recording and Processing Cough and Breath Sounds from SmartphonesMobile Computing, Applications, and Services10.1007/978-3-030-64214-3_7(102-120)Online publication date: 19-Dec-2020
    • (2019)Quality assessment and feedback of Smart Device Microphone Spirometry executed by children2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG)10.1109/ENBENG.2019.8692452(1-4)Online publication date: Feb-2019
    • (2019)Automatic Quality Assessment of a Forced Expiratory Manoeuvre Acquired with the Tablet MicrophoneXV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 201910.1007/978-3-030-31635-8_170(1394-1398)Online publication date: 25-Sep-2019
    • (2017)MobSpiro: Mobile based spirometry for detecting COPD2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC)10.1109/CCWC.2017.7868345(1-4)Online publication date: Jan-2017
    • Show More Cited By

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