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

Wenyao Xu, Ming Chun Huang, Jason J. Liu, Fengbo Ren, Xinchen Shen, Xiao Liu, Majid Sarrafzadeh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of PETRA 2013
Subtitle of host publicationThe 6th International Conference on PErvasive Technologies Related to Assistive Environments 2013
DOIs
StatePublished - Nov 29 2013
Externally publishedYes
Event6th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2013 - Rhodes, Greece
Duration: May 29 2013May 31 2013

Publication series

NameACM International Conference Proceeding Series

Other

Other6th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2013
CountryGreece
CityRhodes
Period5/29/135/31/13

Keywords

  • Android
  • COPD detection
  • spirometer
  • wireless health

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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