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An application for diagnosing lung diseases on Android phone

Published: 03 December 2015 Publication History

Abstract

Nowadays, lung diseases, such as asthma, chronic obstructive pulmonary disease (COPD), and cystic fibrosis, are increasingly attracting the attention of the world medical community. The main reason is due to the increasing environmental pollution problem. Therefore, detecting pulmonary exacerbations and improving outcomes of chronic lung ailments are in urgent need. Traditionally, patients have to go to pulmonary hospital and use conventional spirometers. However, the challenge of this solution is the cost and the loss of time. Patients may take several hours to queue to see a doctor and have to pay for medical expenses. In order to solve this inconvenience, we proposed an approach, called BKSpiro, for measuring lung function using Android phone, a very popular device for everyone today. BKSpiro has the potential for more rapid recovery, earlier treatment of exacerbations, and reduce health care costs.

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Cited By

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  • (2023)A Method for Determining the Type of Human Breathing Based on Machine LearningProceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering10.21869/2223-1536-2023-13-2-8-3013:2(8-30)Online publication date: 2-Aug-2023
  • (2023)EarSpiroProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35694806:4(1-27)Online publication date: 11-Jan-2023

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cover image ACM Other conferences
SoICT '15: Proceedings of the 6th International Symposium on Information and Communication Technology
December 2015
372 pages
ISBN:9781450338431
DOI:10.1145/2833258
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]

In-Cooperation

  • SOICT: School of Information and Communication Technology - HUST
  • NAFOSTED: The National Foundation for Science and Technology Development

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 December 2015

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Author Tags

  1. Spirometer
  2. android application
  3. lung functions

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  • Research-article
  • Research
  • Refereed limited

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SoICT 2015

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SoICT '15 Paper Acceptance Rate 49 of 106 submissions, 46%;
Overall Acceptance Rate 147 of 318 submissions, 46%

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Cited By

View all
  • (2023)A Method for Determining the Type of Human Breathing Based on Machine LearningProceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering10.21869/2223-1536-2023-13-2-8-3013:2(8-30)Online publication date: 2-Aug-2023
  • (2023)EarSpiroProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35694806:4(1-27)Online publication date: 11-Jan-2023

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