Human heart oscillatory behavior during atrial fibrillation based on second order system

In this paper, the viability of a second order system to characterize the oscillatory behavior of human heart of atrial fibrillation patient was monitored and analysed. Sampling were patients who experienced atrial fibrillation. This study used the MIT-BIH Atrial Fibrillation dataset (MIT-afdb) from...

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Main Authors: Abdul Kadir, N. A., Mat Safri, N., Othman, M. A., Embong, A. M.
Format: Article
Published: Springer Verlag 2015
Subjects:
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author Abdul Kadir, N. A.
Mat Safri, N.
Othman, M. A.
Embong, A. M.
author_facet Abdul Kadir, N. A.
Mat Safri, N.
Othman, M. A.
Embong, A. M.
author_sort Abdul Kadir, N. A.
collection ePrints
description In this paper, the viability of a second order system to characterize the oscillatory behavior of human heart of atrial fibrillation patient was monitored and analysed. Sampling were patients who experienced atrial fibrillation. This study used the MIT-BIH Atrial Fibrillation dataset (MIT-afdb) from the Physiobank ECG database. ECG recordings of normal sinus rhythm (N) and atrial fibrillation (AF) which occurred sequentially, were analyzed for both ECG's Lead I and Lead II. From here, the oscillatory behavior of human heart was characterized in accordance to the extracted parameters for each rhythm, i.e. natural frequency, damping coefficient and forcing input from the second order system. Results show that there were significant differences in mean value of natural frequency (ω), ratios of natural frequency to damping coefficient (ω/ζ), derivative of the natural frequency with respect to time (dω/dt) and derivative of the forcing input with respect to time (dω/dt), between N and AF from Lead I (P < 0.01). Each parameter provides more than 95% accuracy using artificial neural networks.
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spelling utm.eprints-593042021-08-04T05:47:52Z http://eprints.utm.my/59304/ Human heart oscillatory behavior during atrial fibrillation based on second order system Abdul Kadir, N. A. Mat Safri, N. Othman, M. A. Embong, A. M. QA75 Electronic computers. Computer science In this paper, the viability of a second order system to characterize the oscillatory behavior of human heart of atrial fibrillation patient was monitored and analysed. Sampling were patients who experienced atrial fibrillation. This study used the MIT-BIH Atrial Fibrillation dataset (MIT-afdb) from the Physiobank ECG database. ECG recordings of normal sinus rhythm (N) and atrial fibrillation (AF) which occurred sequentially, were analyzed for both ECG's Lead I and Lead II. From here, the oscillatory behavior of human heart was characterized in accordance to the extracted parameters for each rhythm, i.e. natural frequency, damping coefficient and forcing input from the second order system. Results show that there were significant differences in mean value of natural frequency (ω), ratios of natural frequency to damping coefficient (ω/ζ), derivative of the natural frequency with respect to time (dω/dt) and derivative of the forcing input with respect to time (dω/dt), between N and AF from Lead I (P < 0.01). Each parameter provides more than 95% accuracy using artificial neural networks. Springer Verlag 2015 Article PeerReviewed Abdul Kadir, N. A. and Mat Safri, N. and Othman, M. A. and Embong, A. M. (2015) Human heart oscillatory behavior during atrial fibrillation based on second order system. IFMBE Proceedings, 52 . pp. 19-22. ISSN 1680-0737 http://dx.doi.org/10.1007/978-3-319-19452-3_6
spellingShingle QA75 Electronic computers. Computer science
Abdul Kadir, N. A.
Mat Safri, N.
Othman, M. A.
Embong, A. M.
Human heart oscillatory behavior during atrial fibrillation based on second order system
title Human heart oscillatory behavior during atrial fibrillation based on second order system
title_full Human heart oscillatory behavior during atrial fibrillation based on second order system
title_fullStr Human heart oscillatory behavior during atrial fibrillation based on second order system
title_full_unstemmed Human heart oscillatory behavior during atrial fibrillation based on second order system
title_short Human heart oscillatory behavior during atrial fibrillation based on second order system
title_sort human heart oscillatory behavior during atrial fibrillation based on second order system
topic QA75 Electronic computers. Computer science
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