Review of Processing Pathological Vectorcardiographic Records for the Detection of Heart Disease
Vectorcardiography (VCG) is another useful method that provides us with useful spatial information about the electrical activity of the heart. The use of vectorcardiography in clinical practice is not common nowadays, mainly due to the well-established 12-lead ECG system. However, VCG leads can be d...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-03-01
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| Series: | Frontiers in Physiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2022.856590/full |
| _version_ | 1798021128114929664 |
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| author | Jaroslav Vondrak Marek Penhaker |
| author_facet | Jaroslav Vondrak Marek Penhaker |
| author_sort | Jaroslav Vondrak |
| collection | DOAJ |
| description | Vectorcardiography (VCG) is another useful method that provides us with useful spatial information about the electrical activity of the heart. The use of vectorcardiography in clinical practice is not common nowadays, mainly due to the well-established 12-lead ECG system. However, VCG leads can be derived from standard 12-lead ECG systems using mathematical transformations. These derived or directly measured VCG records have proven to be a useful tool for diagnosing various heart diseases such as myocardial infarction, ventricular hypertrophy, myocardial scars, long QT syndrome, etc., where standard ECG does not achieve reliable accuracy within automated detection. With the development of computer technology in recent years, vectorcardiography is beginning to come to the forefront again. In this review we highlight the analysis of VCG records within the extraction of functional parameters for the detection of heart disease. We focus on methods of processing VCG functionalities and their use in given pathologies. Improving or combining current or developing new advanced signal processing methods can contribute to better and earlier detection of heart disease. We also focus on the most commonly used methods to derive a VCG from 12-lead ECG. |
| first_indexed | 2024-04-11T17:09:01Z |
| format | Article |
| id | doaj.art-48259835725c4f9bac163336c16ae7f8 |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-04-11T17:09:01Z |
| publishDate | 2022-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj.art-48259835725c4f9bac163336c16ae7f82022-12-22T04:12:57ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2022-03-011310.3389/fphys.2022.856590856590Review of Processing Pathological Vectorcardiographic Records for the Detection of Heart DiseaseJaroslav VondrakMarek PenhakerVectorcardiography (VCG) is another useful method that provides us with useful spatial information about the electrical activity of the heart. The use of vectorcardiography in clinical practice is not common nowadays, mainly due to the well-established 12-lead ECG system. However, VCG leads can be derived from standard 12-lead ECG systems using mathematical transformations. These derived or directly measured VCG records have proven to be a useful tool for diagnosing various heart diseases such as myocardial infarction, ventricular hypertrophy, myocardial scars, long QT syndrome, etc., where standard ECG does not achieve reliable accuracy within automated detection. With the development of computer technology in recent years, vectorcardiography is beginning to come to the forefront again. In this review we highlight the analysis of VCG records within the extraction of functional parameters for the detection of heart disease. We focus on methods of processing VCG functionalities and their use in given pathologies. Improving or combining current or developing new advanced signal processing methods can contribute to better and earlier detection of heart disease. We also focus on the most commonly used methods to derive a VCG from 12-lead ECG.https://www.frontiersin.org/articles/10.3389/fphys.2022.856590/fullvectorcardiographyheart diseaseVCG featurestransformation methodselectrocardiography |
| spellingShingle | Jaroslav Vondrak Marek Penhaker Review of Processing Pathological Vectorcardiographic Records for the Detection of Heart Disease Frontiers in Physiology vectorcardiography heart disease VCG features transformation methods electrocardiography |
| title | Review of Processing Pathological Vectorcardiographic Records for the Detection of Heart Disease |
| title_full | Review of Processing Pathological Vectorcardiographic Records for the Detection of Heart Disease |
| title_fullStr | Review of Processing Pathological Vectorcardiographic Records for the Detection of Heart Disease |
| title_full_unstemmed | Review of Processing Pathological Vectorcardiographic Records for the Detection of Heart Disease |
| title_short | Review of Processing Pathological Vectorcardiographic Records for the Detection of Heart Disease |
| title_sort | review of processing pathological vectorcardiographic records for the detection of heart disease |
| topic | vectorcardiography heart disease VCG features transformation methods electrocardiography |
| url | https://www.frontiersin.org/articles/10.3389/fphys.2022.856590/full |
| work_keys_str_mv | AT jaroslavvondrak reviewofprocessingpathologicalvectorcardiographicrecordsforthedetectionofheartdisease AT marekpenhaker reviewofprocessingpathologicalvectorcardiographicrecordsforthedetectionofheartdisease |