Towards the Development of Nonlinear Approaches to Discriminate AF from NSR Using a Single-Lead ECG
Paroxysmal atrial fibrillation (Paro. AF) is challenging to identify at the right moment. This disease is often undiagnosed using currently existing methods. Nonlinear analysis is gaining importance due to its capability to provide more insight into complex heart dynamics. The aim of this study is t...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-05-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/22/5/531 |
| _version_ | 1827717251728408576 |
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| author | Jieun Lee Yugene Guo Vasanth Ravikumar Elena G. Tolkacheva |
| author_facet | Jieun Lee Yugene Guo Vasanth Ravikumar Elena G. Tolkacheva |
| author_sort | Jieun Lee |
| collection | DOAJ |
| description | Paroxysmal atrial fibrillation (Paro. AF) is challenging to identify at the right moment. This disease is often undiagnosed using currently existing methods. Nonlinear analysis is gaining importance due to its capability to provide more insight into complex heart dynamics. The aim of this study is to use several recently developed nonlinear techniques to discriminate persistent AF (Pers. AF) from normal sinus rhythm (NSR), and more importantly, Paro. AF from NSR, using short-term single-lead electrocardiogram (ECG) signals. Specifically, we adapted and modified the time-delayed embedding method to minimize incorrect embedding parameter selection and further support to reconstruct proper phase plots of NSR and AF heart dynamics, from MIT-BIH databases. We also examine information-based methods, such as multiscale entropy (MSE) and kurtosis (Kt) for the same purposes. Our results demonstrate that embedding parameter time delay (<inline-formula> <math display="inline"> <semantics> <mi>τ</mi> </semantics> </math> </inline-formula>), as well as MSE and Kt values can be successfully used to discriminate between Pers. AF and NSR. Moreover, we demonstrate that <inline-formula> <math display="inline"> <semantics> <mi>τ</mi> </semantics> </math> </inline-formula> and Kt can successfully discriminate Paro. AF from NSR. Our results suggest that nonlinear time-delayed embedding method and information-based methods provide robust discriminating features to distinguish both Pers. AF and Paro. AF from NSR, thus offering effective treatment before suffering chaotic Pers. AF. |
| first_indexed | 2024-03-10T19:57:53Z |
| format | Article |
| id | doaj.art-d2884f59249f46e6bcd7bcab2307ca8a |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-10T19:57:53Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-d2884f59249f46e6bcd7bcab2307ca8a2023-11-19T23:49:25ZengMDPI AGEntropy1099-43002020-05-0122553110.3390/e22050531Towards the Development of Nonlinear Approaches to Discriminate AF from NSR Using a Single-Lead ECGJieun Lee0Yugene Guo1Vasanth Ravikumar2Elena G. Tolkacheva3Department of Electrical and Computer Engineering, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USADepartment of Biochemistry, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USADepartment of Electrical and Computer Engineering, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USADepartment of Biomedical Engineering, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USAParoxysmal atrial fibrillation (Paro. AF) is challenging to identify at the right moment. This disease is often undiagnosed using currently existing methods. Nonlinear analysis is gaining importance due to its capability to provide more insight into complex heart dynamics. The aim of this study is to use several recently developed nonlinear techniques to discriminate persistent AF (Pers. AF) from normal sinus rhythm (NSR), and more importantly, Paro. AF from NSR, using short-term single-lead electrocardiogram (ECG) signals. Specifically, we adapted and modified the time-delayed embedding method to minimize incorrect embedding parameter selection and further support to reconstruct proper phase plots of NSR and AF heart dynamics, from MIT-BIH databases. We also examine information-based methods, such as multiscale entropy (MSE) and kurtosis (Kt) for the same purposes. Our results demonstrate that embedding parameter time delay (<inline-formula> <math display="inline"> <semantics> <mi>τ</mi> </semantics> </math> </inline-formula>), as well as MSE and Kt values can be successfully used to discriminate between Pers. AF and NSR. Moreover, we demonstrate that <inline-formula> <math display="inline"> <semantics> <mi>τ</mi> </semantics> </math> </inline-formula> and Kt can successfully discriminate Paro. AF from NSR. Our results suggest that nonlinear time-delayed embedding method and information-based methods provide robust discriminating features to distinguish both Pers. AF and Paro. AF from NSR, thus offering effective treatment before suffering chaotic Pers. AF.https://www.mdpi.com/1099-4300/22/5/531paroxysmal AF discriminationnonlinear dynamic methodtime-delayed embeddingmultiscale entropykurtosis |
| spellingShingle | Jieun Lee Yugene Guo Vasanth Ravikumar Elena G. Tolkacheva Towards the Development of Nonlinear Approaches to Discriminate AF from NSR Using a Single-Lead ECG Entropy paroxysmal AF discrimination nonlinear dynamic method time-delayed embedding multiscale entropy kurtosis |
| title | Towards the Development of Nonlinear Approaches to Discriminate AF from NSR Using a Single-Lead ECG |
| title_full | Towards the Development of Nonlinear Approaches to Discriminate AF from NSR Using a Single-Lead ECG |
| title_fullStr | Towards the Development of Nonlinear Approaches to Discriminate AF from NSR Using a Single-Lead ECG |
| title_full_unstemmed | Towards the Development of Nonlinear Approaches to Discriminate AF from NSR Using a Single-Lead ECG |
| title_short | Towards the Development of Nonlinear Approaches to Discriminate AF from NSR Using a Single-Lead ECG |
| title_sort | towards the development of nonlinear approaches to discriminate af from nsr using a single lead ecg |
| topic | paroxysmal AF discrimination nonlinear dynamic method time-delayed embedding multiscale entropy kurtosis |
| url | https://www.mdpi.com/1099-4300/22/5/531 |
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