Localization of Accessory Pathways in Patients with Wolff-Parkinson-White Syndrome Using Cross-Recurrence Plot of Precordial Leads
The non-invasive localization of accessory pathway (AP) in patients with Wolff-Parkinson-White (WPW) syndrome is typically performed upon physicians’ diagnoses based on observing their electrocardiogram (ECG) signals, which are not always the same. Therefore, a high-accuracy automatic method can hel...
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Islamic Azad University Bushehr Branch
2024-07-01
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| Series: | مهندسی مخابرات جنوب |
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| Online Access: | https://sanad.iau.ir/journal/jce/Article/870022 |
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| author | Sakineh Yahyazadeh Nader Jafarnia Dabanloo Ali Motie Nasrabadi Alireza Ghorbani Sharif |
| author_facet | Sakineh Yahyazadeh Nader Jafarnia Dabanloo Ali Motie Nasrabadi Alireza Ghorbani Sharif |
| author_sort | Sakineh Yahyazadeh |
| collection | DOAJ |
| description | The non-invasive localization of accessory pathway (AP) in patients with Wolff-Parkinson-White (WPW) syndrome is typically performed upon physicians’ diagnoses based on observing their electrocardiogram (ECG) signals, which are not always the same. Therefore, a high-accuracy automatic method can help minimize this gap regarding AP localization. This study was to develop a novel semi-automatic localization of AP in patients with WPW syndrome, using features selected from the cross-recurrence plot (CRP) of consecutive precordial leads on ECG. The study participants comprised of 31 patients with WPW syndrome (aged 8-69, with the mean age of 31.19±14.69, 32.3% female), receiving successful ablation therapy during the first session. The features extracted from the CRP, including laminarity (LAM), trapping time (TT), determinism (DET), and mean length of diagonal line (L) were then analyzed. The feature reduction, The classification and the cross-validation (CV) methods were sequential forward selection (SFS), the k-nearest neighbors (KNN) and the leave-one-out (LOO) respectively. The proposed method could differentiate the right and left APs in the patients with WPW syndrome with the accuracy value of 87% (sensitivity: 93.33%, specificity: 81.25%). These results were achieved by the LAM and L features from the CRP of (V1, V2) and (V3, V4), respectively. |
| format | Article |
| id | doaj-art-8d672539b8a84aff9038e9fcfc578d39 |
| institution | Kabale University |
| issn | 2980-9231 |
| language | fas |
| publishDate | 2024-07-01 |
| publisher | Islamic Azad University Bushehr Branch |
| record_format | Article |
| series | مهندسی مخابرات جنوب |
| spelling | doaj-art-8d672539b8a84aff9038e9fcfc578d392025-01-11T05:10:00ZfasIslamic Azad University Bushehr Branchمهندسی مخابرات جنوب2980-92312024-07-0113524564Localization of Accessory Pathways in Patients with Wolff-Parkinson-White Syndrome Using Cross-Recurrence Plot of Precordial LeadsSakineh Yahyazadeh0Nader Jafarnia Dabanloo1Ali Motie Nasrabadi2Alireza Ghorbani Sharif3Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, IranDepartment of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, IranDepartment of Biomedical Engineering, Shahed University, Tehran, IranThe Arrhythmia Clinic Dr. Ghorbani Sharif, Tehran, IranThe non-invasive localization of accessory pathway (AP) in patients with Wolff-Parkinson-White (WPW) syndrome is typically performed upon physicians’ diagnoses based on observing their electrocardiogram (ECG) signals, which are not always the same. Therefore, a high-accuracy automatic method can help minimize this gap regarding AP localization. This study was to develop a novel semi-automatic localization of AP in patients with WPW syndrome, using features selected from the cross-recurrence plot (CRP) of consecutive precordial leads on ECG. The study participants comprised of 31 patients with WPW syndrome (aged 8-69, with the mean age of 31.19±14.69, 32.3% female), receiving successful ablation therapy during the first session. The features extracted from the CRP, including laminarity (LAM), trapping time (TT), determinism (DET), and mean length of diagonal line (L) were then analyzed. The feature reduction, The classification and the cross-validation (CV) methods were sequential forward selection (SFS), the k-nearest neighbors (KNN) and the leave-one-out (LOO) respectively. The proposed method could differentiate the right and left APs in the patients with WPW syndrome with the accuracy value of 87% (sensitivity: 93.33%, specificity: 81.25%). These results were achieved by the LAM and L features from the CRP of (V1, V2) and (V3, V4), respectively.https://sanad.iau.ir/journal/jce/Article/870022wolff-parkinson-white syndrome localization accessory pathway cross-recurrence plot. |
| spellingShingle | Sakineh Yahyazadeh Nader Jafarnia Dabanloo Ali Motie Nasrabadi Alireza Ghorbani Sharif Localization of Accessory Pathways in Patients with Wolff-Parkinson-White Syndrome Using Cross-Recurrence Plot of Precordial Leads مهندسی مخابرات جنوب wolff-parkinson-white syndrome localization accessory pathway cross-recurrence plot. |
| title | Localization of Accessory Pathways in Patients with Wolff-Parkinson-White Syndrome Using Cross-Recurrence Plot of Precordial Leads |
| title_full | Localization of Accessory Pathways in Patients with Wolff-Parkinson-White Syndrome Using Cross-Recurrence Plot of Precordial Leads |
| title_fullStr | Localization of Accessory Pathways in Patients with Wolff-Parkinson-White Syndrome Using Cross-Recurrence Plot of Precordial Leads |
| title_full_unstemmed | Localization of Accessory Pathways in Patients with Wolff-Parkinson-White Syndrome Using Cross-Recurrence Plot of Precordial Leads |
| title_short | Localization of Accessory Pathways in Patients with Wolff-Parkinson-White Syndrome Using Cross-Recurrence Plot of Precordial Leads |
| title_sort | localization of accessory pathways in patients with wolff parkinson white syndrome using cross recurrence plot of precordial leads |
| topic | wolff-parkinson-white syndrome localization accessory pathway cross-recurrence plot. |
| url | https://sanad.iau.ir/journal/jce/Article/870022 |
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