Enhanced 12-Lead ECG Reconstruction from Single-Lead Data Using WaveNet
The Electrocardiogram (ECG) is a fundamental tool in clinical practice for diagnosing a variety of heart conditions. Traditional ECG systems require a complete set of 12 leads collected in a clinical environment, which can be time-consuming and costly. Recent advancements in wearable technology, suc...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024-01-01
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| Series: | ITM Web of Conferences |
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| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_02008.pdf |
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| author | Et-Tousy Jamal Et-Tousy Said Ait El Aouad Soufiane Zyane Abdellah |
| author_facet | Et-Tousy Jamal Et-Tousy Said Ait El Aouad Soufiane Zyane Abdellah |
| author_sort | Et-Tousy Jamal |
| collection | DOAJ |
| description | The Electrocardiogram (ECG) is a fundamental tool in clinical practice for diagnosing a variety of heart conditions. Traditional ECG systems require a complete set of 12 leads collected in a clinical environment, which can be time-consuming and costly. Recent advancements in wearable technology, such as smartwatches, allow for the collection of ECG signals in a more convenient manner, but typically only provide a single lead. This paper presents a novel approach to reconstructing the full 12-lead ECG from a single lead using WaveNet. The WaveNet model offers flexibility in handling signal segments of varying durations, while exceling in capturing complex data dependencies. Our models achieve superior performance in terms of signal reconstruction quality, demonstrated by a significant improvement in Pearson correlation coefficients, RMSE and SSIM. This work paves the way for more accessible and cost-effective ECG diagnostics, potentially revolutionizing cardiac care with wearable devices. |
| format | Article |
| id | doaj-art-9944b567162f4be9b6b119a51028f5a0 |
| institution | Kabale University |
| issn | 2271-2097 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj-art-9944b567162f4be9b6b119a51028f5a02025-01-08T10:58:54ZengEDP SciencesITM Web of Conferences2271-20972024-01-01690200810.1051/itmconf/20246902008itmconf_maih2024_02008Enhanced 12-Lead ECG Reconstruction from Single-Lead Data Using WaveNetEt-Tousy Jamal0Et-Tousy Said1Ait El Aouad Soufiane2Zyane Abdellah3Cadi Ayyad University, S.A.R.S. Team, ENSAMohammed VI Polytechnic University, EMINESMohammed VI Polytechnic University, EMINESCadi Ayyad University, S.A.R.S. Team, ENSAThe Electrocardiogram (ECG) is a fundamental tool in clinical practice for diagnosing a variety of heart conditions. Traditional ECG systems require a complete set of 12 leads collected in a clinical environment, which can be time-consuming and costly. Recent advancements in wearable technology, such as smartwatches, allow for the collection of ECG signals in a more convenient manner, but typically only provide a single lead. This paper presents a novel approach to reconstructing the full 12-lead ECG from a single lead using WaveNet. The WaveNet model offers flexibility in handling signal segments of varying durations, while exceling in capturing complex data dependencies. Our models achieve superior performance in terms of signal reconstruction quality, demonstrated by a significant improvement in Pearson correlation coefficients, RMSE and SSIM. This work paves the way for more accessible and cost-effective ECG diagnostics, potentially revolutionizing cardiac care with wearable devices.https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_02008.pdfelectrocardiogram (ecg)12-lead ecgwavenetsignal reconstructionwearable devices |
| spellingShingle | Et-Tousy Jamal Et-Tousy Said Ait El Aouad Soufiane Zyane Abdellah Enhanced 12-Lead ECG Reconstruction from Single-Lead Data Using WaveNet ITM Web of Conferences electrocardiogram (ecg) 12-lead ecg wavenet signal reconstruction wearable devices |
| title | Enhanced 12-Lead ECG Reconstruction from Single-Lead Data Using WaveNet |
| title_full | Enhanced 12-Lead ECG Reconstruction from Single-Lead Data Using WaveNet |
| title_fullStr | Enhanced 12-Lead ECG Reconstruction from Single-Lead Data Using WaveNet |
| title_full_unstemmed | Enhanced 12-Lead ECG Reconstruction from Single-Lead Data Using WaveNet |
| title_short | Enhanced 12-Lead ECG Reconstruction from Single-Lead Data Using WaveNet |
| title_sort | enhanced 12 lead ecg reconstruction from single lead data using wavenet |
| topic | electrocardiogram (ecg) 12-lead ecg wavenet signal reconstruction wearable devices |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_02008.pdf |
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