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Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study
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| Zeitschriftentitel: | Computational and Mathematical Methods in Medicine |
|---|---|
| Personen und Körperschaften: | , , , , |
| In: | Computational and Mathematical Methods in Medicine, 2017, 2017, S. 1-13 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Hindawi Limited
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| Schlagwörter: |
| author_facet |
Lenis, Gustavo Pilia, Nicolas Loewe, Axel Schulze, Walther H. W. Dössel, Olaf Lenis, Gustavo Pilia, Nicolas Loewe, Axel Schulze, Walther H. W. Dössel, Olaf |
|---|---|
| author |
Lenis, Gustavo Pilia, Nicolas Loewe, Axel Schulze, Walther H. W. Dössel, Olaf |
| spellingShingle |
Lenis, Gustavo Pilia, Nicolas Loewe, Axel Schulze, Walther H. W. Dössel, Olaf Computational and Mathematical Methods in Medicine Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study Applied Mathematics General Immunology and Microbiology General Biochemistry, Genetics and Molecular Biology Modeling and Simulation General Medicine |
| author_sort |
lenis, gustavo |
| spelling |
Lenis, Gustavo Pilia, Nicolas Loewe, Axel Schulze, Walther H. W. Dössel, Olaf 1748-670X 1748-6718 Hindawi Limited Applied Mathematics General Immunology and Microbiology General Biochemistry, Genetics and Molecular Biology Modeling and Simulation General Medicine http://dx.doi.org/10.1155/2017/9295029 <jats:p>The most important ECG marker for the diagnosis of ischemia or infarction is a change in the ST segment. Baseline wander is a typical artifact that corrupts the recorded ECG and can hinder the correct diagnosis of such diseases. For the purpose of finding the best suited filter for the removal of baseline wander, the ground truth about the ST change prior to the corrupting artifact and the subsequent filtering process is needed. In order to create the desired reference, we used a large simulation study that allowed us to represent the ischemic heart at a multiscale level from the cardiac myocyte to the surface ECG. We also created a realistic model of baseline wander to evaluate five filtering techniques commonly used in literature. In the simulation study, we included a total of 5.5 million signals coming from 765 electrophysiological setups. We found that the best performing method was the wavelet-based baseline cancellation. However, for medical applications, the Butterworth high-pass filter is the better choice because it is computationally cheap and almost as accurate. Even though all methods modify the ST segment up to some extent, they were all proved to be better than leaving baseline wander unfiltered.</jats:p> Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study Computational and Mathematical Methods in Medicine |
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Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study |
| title_unstemmed |
Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study |
| title_full |
Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study |
| title_fullStr |
Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study |
| title_full_unstemmed |
Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study |
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Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study |
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comparison of baseline wander removal techniques considering the preservation of st changes in the ischemic ecg: a simulation study |
| topic |
Applied Mathematics General Immunology and Microbiology General Biochemistry, Genetics and Molecular Biology Modeling and Simulation General Medicine |
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http://dx.doi.org/10.1155/2017/9295029 |
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2017 |
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1-13 |
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<jats:p>The most important ECG marker for the diagnosis of ischemia or infarction is a change in the ST segment. Baseline wander is a typical artifact that corrupts the recorded ECG and can hinder the correct diagnosis of such diseases. For the purpose of finding the best suited filter for the removal of baseline wander, the ground truth about the ST change prior to the corrupting artifact and the subsequent filtering process is needed. In order to create the desired reference, we used a large simulation study that allowed us to represent the ischemic heart at a multiscale level from the cardiac myocyte to the surface ECG. We also created a realistic model of baseline wander to evaluate five filtering techniques commonly used in literature. In the simulation study, we included a total of 5.5 million signals coming from 765 electrophysiological setups. We found that the best performing method was the wavelet-based baseline cancellation. However, for medical applications, the Butterworth high-pass filter is the better choice because it is computationally cheap and almost as accurate. Even though all methods modify the ST segment up to some extent, they were all proved to be better than leaving baseline wander unfiltered.</jats:p> |
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| description | <jats:p>The most important ECG marker for the diagnosis of ischemia or infarction is a change in the ST segment. Baseline wander is a typical artifact that corrupts the recorded ECG and can hinder the correct diagnosis of such diseases. For the purpose of finding the best suited filter for the removal of baseline wander, the ground truth about the ST change prior to the corrupting artifact and the subsequent filtering process is needed. In order to create the desired reference, we used a large simulation study that allowed us to represent the ischemic heart at a multiscale level from the cardiac myocyte to the surface ECG. We also created a realistic model of baseline wander to evaluate five filtering techniques commonly used in literature. In the simulation study, we included a total of 5.5 million signals coming from 765 electrophysiological setups. We found that the best performing method was the wavelet-based baseline cancellation. However, for medical applications, the Butterworth high-pass filter is the better choice because it is computationally cheap and almost as accurate. Even though all methods modify the ST segment up to some extent, they were all proved to be better than leaving baseline wander unfiltered.</jats:p> |
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| spelling | Lenis, Gustavo Pilia, Nicolas Loewe, Axel Schulze, Walther H. W. Dössel, Olaf 1748-670X 1748-6718 Hindawi Limited Applied Mathematics General Immunology and Microbiology General Biochemistry, Genetics and Molecular Biology Modeling and Simulation General Medicine http://dx.doi.org/10.1155/2017/9295029 <jats:p>The most important ECG marker for the diagnosis of ischemia or infarction is a change in the ST segment. Baseline wander is a typical artifact that corrupts the recorded ECG and can hinder the correct diagnosis of such diseases. For the purpose of finding the best suited filter for the removal of baseline wander, the ground truth about the ST change prior to the corrupting artifact and the subsequent filtering process is needed. In order to create the desired reference, we used a large simulation study that allowed us to represent the ischemic heart at a multiscale level from the cardiac myocyte to the surface ECG. We also created a realistic model of baseline wander to evaluate five filtering techniques commonly used in literature. In the simulation study, we included a total of 5.5 million signals coming from 765 electrophysiological setups. We found that the best performing method was the wavelet-based baseline cancellation. However, for medical applications, the Butterworth high-pass filter is the better choice because it is computationally cheap and almost as accurate. Even though all methods modify the ST segment up to some extent, they were all proved to be better than leaving baseline wander unfiltered.</jats:p> Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study Computational and Mathematical Methods in Medicine |
| spellingShingle | Lenis, Gustavo, Pilia, Nicolas, Loewe, Axel, Schulze, Walther H. W., Dössel, Olaf, Computational and Mathematical Methods in Medicine, Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study, Applied Mathematics, General Immunology and Microbiology, General Biochemistry, Genetics and Molecular Biology, Modeling and Simulation, General Medicine |
| title | Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study |
| title_full | Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study |
| title_fullStr | Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study |
| title_full_unstemmed | Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study |
| title_short | Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study |
| title_sort | comparison of baseline wander removal techniques considering the preservation of st changes in the ischemic ecg: a simulation study |
| title_unstemmed | Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study |
| topic | Applied Mathematics, General Immunology and Microbiology, General Biochemistry, Genetics and Molecular Biology, Modeling and Simulation, General Medicine |
| url | http://dx.doi.org/10.1155/2017/9295029 |