Eucapnic voluntary hyperpnea (EVH) challenge is a well-established and sensitive method of determining the degree of bronchoconstriction at hospitals and clinics. This paper presents the development of a computer-controlled system for assessing exercise-induced bronchoconstriction (EIB) in humans including a computer graphic user interface (GUI) to control a low-pressure demand valve for better efficiency. GUI is designed to monitor the severity of acute lung airway narrowing using a matlab software and to present the measurement data into a simple user-friendly program consisting of patient information, EVH test analysis, and detection of exercise-induced asthma (EIA) and EIB. The proposed system is assessed using human subjects. Typical outputs from this system showed that for a female participant, a 20.25% and a 15.61% decrease from baseline in her forced expiratory volume in 1 s (FEVl) after 10 and 15 min of the challenge commencement, respectively. Her actual expiratory flow rate (45.833 L/m) and actual total volume of gas respired (275 L) were smaller than the target values. This system widens the usage of EVH challenge in medical areas, and the GUI may serve as a new clinical computer-aided diagnostic tool to help healthcare professionals noninvasively monitor the severity of asthma, EIA, and EIB.
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December 2016
Technical Briefs
Computer-Controlled Eucapnic Voluntary Hyperpnea Challenge Method
Ahmed M. Al-Jumaily,
Ahmed M. Al-Jumaily
Fellow ASME
Institute of Biomedical Technologies (IBTec),
Auckland University of Technology,
Private Bag 92006,
Auckland 1142, New Zealand
e-mail: ahmed.al-jumaily@aut.ac.nz
Institute of Biomedical Technologies (IBTec),
Auckland University of Technology,
Private Bag 92006,
Auckland 1142, New Zealand
e-mail: ahmed.al-jumaily@aut.ac.nz
Search for other works by this author on:
Lulu Wang
Lulu Wang
Mem. ASME
School of Instrument Science
and Optoelectronics Engineering,
Hefei University of Technology,
193 Tunxi Road,
Hefei 230009, China
e-mail: luluwang2015@hfut.edu.cn
School of Instrument Science
and Optoelectronics Engineering,
Hefei University of Technology,
193 Tunxi Road,
Hefei 230009, China
e-mail: luluwang2015@hfut.edu.cn
Search for other works by this author on:
Ahmed M. Al-Jumaily
Fellow ASME
Institute of Biomedical Technologies (IBTec),
Auckland University of Technology,
Private Bag 92006,
Auckland 1142, New Zealand
e-mail: ahmed.al-jumaily@aut.ac.nz
Institute of Biomedical Technologies (IBTec),
Auckland University of Technology,
Private Bag 92006,
Auckland 1142, New Zealand
e-mail: ahmed.al-jumaily@aut.ac.nz
Lulu Wang
Mem. ASME
School of Instrument Science
and Optoelectronics Engineering,
Hefei University of Technology,
193 Tunxi Road,
Hefei 230009, China
e-mail: luluwang2015@hfut.edu.cn
School of Instrument Science
and Optoelectronics Engineering,
Hefei University of Technology,
193 Tunxi Road,
Hefei 230009, China
e-mail: luluwang2015@hfut.edu.cn
Manuscript received October 22, 2015; final manuscript received May 31, 2016; published online September 12, 2016. Assoc. Editor: Xiaoming He.
J. Med. Devices. Dec 2016, 10(4): 044507 (5 pages)
Published Online: September 12, 2016
Article history
Received:
October 22, 2015
Revised:
May 31, 2016
Citation
Al-Jumaily, A. M., and Wang, L. (September 12, 2016). "Computer-Controlled Eucapnic Voluntary Hyperpnea Challenge Method." ASME. J. Med. Devices. December 2016; 10(4): 044507. https://doi.org/10.1115/1.4034146
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