Characterization of respiratory conditions using labVIEW and digital spirometer

One of the effective ways to diagnose various respiratory diseases is using spirometry test. Good spirometer comes with excellent graphical user interface. Spirometer is used to measure lung parameters such as Forced Expiratory Volume in the first second and the sixth seconds (FEV1 and FEV6). Th...

Full description

Saved in:
Bibliographic Details
Main Authors: Ibrahim, Siti Noorjannah, Jusoh, Ahmad Zamani, Abdul Malik, Noreha, Asnawi, Ani Liza, Mazalan, S.
Format: Article
Language:English
English
Published: Institute of Advanced Engineering and Science (IAES) 2018
Subjects:
Online Access:http://irep.iium.edu.my/64164/1/64164_Characterization%20of%20respiratory%20conditions%20using%20labVIEW_article.pdf
http://irep.iium.edu.my/64164/2/64164_Characterization%20of%20respiratory%20conditions%20using%20labVIEW_scopus.pdf
http://irep.iium.edu.my/64164/
http://www.iaescore.com/journals/index.php/IJEECS/article/view/10886/8174
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.iium.irep.64164
record_format dspace
spelling my.iium.irep.641642018-06-11T03:39:20Z http://irep.iium.edu.my/64164/ Characterization of respiratory conditions using labVIEW and digital spirometer Ibrahim, Siti Noorjannah Jusoh, Ahmad Zamani Abdul Malik, Noreha Asnawi, Ani Liza Mazalan, S. LC Special aspects of education QP Physiology TK Electrical engineering. Electronics Nuclear engineering One of the effective ways to diagnose various respiratory diseases is using spirometry test. Good spirometer comes with excellent graphical user interface. Spirometer is used to measure lung parameters such as Forced Expiratory Volume in the first second and the sixth seconds (FEV1 and FEV6). This paper presents an algorithm with Graphical User Interface (GUI) for characterization of respiratory conditions using LabVIEW Software. The whole spirometry system consists of a breathing circuitry with pressure sensor and a data acquisition board (NI sbRIO FPGA board). Results obtained from three different volunteers with different health performances are also presented in this paper. The FEV1/FEV6 ratio of a healthy volunteer is 81.1%, an asthma volunteer is 72.04%, and suspected bronchitis volunteer is 33.4%. Based on these results, the unhealthy volunteers tend to have smaller value of FEV1 with lower area under the curve when compared to healthy volunteer. Institute of Advanced Engineering and Science (IAES) 2018-04 Article REM application/pdf en http://irep.iium.edu.my/64164/1/64164_Characterization%20of%20respiratory%20conditions%20using%20labVIEW_article.pdf application/pdf en http://irep.iium.edu.my/64164/2/64164_Characterization%20of%20respiratory%20conditions%20using%20labVIEW_scopus.pdf Ibrahim, Siti Noorjannah and Jusoh, Ahmad Zamani and Abdul Malik, Noreha and Asnawi, Ani Liza and Mazalan, S. (2018) Characterization of respiratory conditions using labVIEW and digital spirometer. Indonesian Journal of Electrical Engineering and Computer Science, 10 (1). pp. 66-73. ISSN 2502-4752 http://www.iaescore.com/journals/index.php/IJEECS/article/view/10886/8174 10.11591/ijeecs.v10.i1.pp66-73
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic LC Special aspects of education
QP Physiology
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle LC Special aspects of education
QP Physiology
TK Electrical engineering. Electronics Nuclear engineering
Ibrahim, Siti Noorjannah
Jusoh, Ahmad Zamani
Abdul Malik, Noreha
Asnawi, Ani Liza
Mazalan, S.
Characterization of respiratory conditions using labVIEW and digital spirometer
description One of the effective ways to diagnose various respiratory diseases is using spirometry test. Good spirometer comes with excellent graphical user interface. Spirometer is used to measure lung parameters such as Forced Expiratory Volume in the first second and the sixth seconds (FEV1 and FEV6). This paper presents an algorithm with Graphical User Interface (GUI) for characterization of respiratory conditions using LabVIEW Software. The whole spirometry system consists of a breathing circuitry with pressure sensor and a data acquisition board (NI sbRIO FPGA board). Results obtained from three different volunteers with different health performances are also presented in this paper. The FEV1/FEV6 ratio of a healthy volunteer is 81.1%, an asthma volunteer is 72.04%, and suspected bronchitis volunteer is 33.4%. Based on these results, the unhealthy volunteers tend to have smaller value of FEV1 with lower area under the curve when compared to healthy volunteer.
format Article
author Ibrahim, Siti Noorjannah
Jusoh, Ahmad Zamani
Abdul Malik, Noreha
Asnawi, Ani Liza
Mazalan, S.
author_facet Ibrahim, Siti Noorjannah
Jusoh, Ahmad Zamani
Abdul Malik, Noreha
Asnawi, Ani Liza
Mazalan, S.
author_sort Ibrahim, Siti Noorjannah
title Characterization of respiratory conditions using labVIEW and digital spirometer
title_short Characterization of respiratory conditions using labVIEW and digital spirometer
title_full Characterization of respiratory conditions using labVIEW and digital spirometer
title_fullStr Characterization of respiratory conditions using labVIEW and digital spirometer
title_full_unstemmed Characterization of respiratory conditions using labVIEW and digital spirometer
title_sort characterization of respiratory conditions using labview and digital spirometer
publisher Institute of Advanced Engineering and Science (IAES)
publishDate 2018
url http://irep.iium.edu.my/64164/1/64164_Characterization%20of%20respiratory%20conditions%20using%20labVIEW_article.pdf
http://irep.iium.edu.my/64164/2/64164_Characterization%20of%20respiratory%20conditions%20using%20labVIEW_scopus.pdf
http://irep.iium.edu.my/64164/
http://www.iaescore.com/journals/index.php/IJEECS/article/view/10886/8174
_version_ 1643616547818700800
score 13.209306