![](/images/graphics-bg.png)
Analysis of Exercise-Induced Periodic Breathing Using an Autoregressive Model and the Hilbert-Huang Transform
Joint Authors
Chang, Ching-Mao
Chang, Hen-Hong
Fu, Tieh-Cheng
Chen, Chaur-Chin
Chu, Hsueh-Ting
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Evaluation of exercise-induced periodic breathing (PB) in cardiopulmonary exercise testing (CPET) is one of important diagnostic evidences to judge the prognosis of chronic heart failure cases.
In this study, we propose a method for the quantitative analysis of measured ventilation signals from an exercise test.
We used an autoregressive (AR) model to filter the breath-by-breath measurements of ventilation from exercise tests.
Then, the signals before reaching the most ventilation were decomposed into intrinsic mode functions (IMF) by using the Hilbert-Huang transform (HHT).
An IMF represents a simple oscillatory pattern which catches a part of original ventilation signal in different frequency band.
For each component of IMF, we computed the number of peaks as the feature of its oscillatory pattern denoted by Δi.
In our experiment, 61 chronic heart failure patients with or without PB pattern were studied.
The computed peaks of the third and fourth IMF components, Δ3 and Δ4, were statistically significant for the two groups (both p values < 0.02).
In summary, our study shows a close link between the HHT analysis and level of intrinsic energy for pulmonary ventilation.
The third and fourth IMF components are highly potential to indicate the prognosis of chronic heart failure.
American Psychological Association (APA)
Fu, Tieh-Cheng& Chen, Chaur-Chin& Chang, Ching-Mao& Chang, Hen-Hong& Chu, Hsueh-Ting. 2018. Analysis of Exercise-Induced Periodic Breathing Using an Autoregressive Model and the Hilbert-Huang Transform. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1132042
Modern Language Association (MLA)
Fu, Tieh-Cheng…[et al.]. Analysis of Exercise-Induced Periodic Breathing Using an Autoregressive Model and the Hilbert-Huang Transform. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1132042
American Medical Association (AMA)
Fu, Tieh-Cheng& Chen, Chaur-Chin& Chang, Ching-Mao& Chang, Hen-Hong& Chu, Hsueh-Ting. Analysis of Exercise-Induced Periodic Breathing Using an Autoregressive Model and the Hilbert-Huang Transform. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1132042
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132042