Signal Fingerprinting as a Novel Diagnostic Tool to Identify Conduction Inhomogeneity
BackgroundInhomogeneous intra-atrial conduction facilitates both initiation and perpetuation of atrial fibrillation (AF) and is reflected in electrogram (EGM) morphology.ObjectiveThe primary objective of this study is to investigate regional differences in features of different EGM types during sinu...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-03-01
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| Series: | Frontiers in Physiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2021.652128/full |
| _version_ | 1830140784782868480 |
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| author | Ziliang Ye Mathijs S. van Schie Natasja M. S. de Groot |
| author_facet | Ziliang Ye Mathijs S. van Schie Natasja M. S. de Groot |
| author_sort | Ziliang Ye |
| collection | DOAJ |
| description | BackgroundInhomogeneous intra-atrial conduction facilitates both initiation and perpetuation of atrial fibrillation (AF) and is reflected in electrogram (EGM) morphology.ObjectiveThe primary objective of this study is to investigate regional differences in features of different EGM types during sinus rhythm (SR) and to design a patient-specific signal fingerprint, which quantifies the severity and extensiveness of inhomogeneity in conduction.MethodsPatients (N = 189, 86% male; mean age 65 ± 9 years) undergoing coronary artery bypass grafting (CABG) underwent high-resolution mapping of the right atrium (RA), left atrium (LA), and pulmonary vein area (PVA) including Bachmann’s bundle (BB). EGMs during 5 s of SR were classified as single potentials (SPs), short double potentials (SDPs, interval between deflections < 15 ms), long double potentials (LDPs, deflection interval > 15 ms), or fractionated potentials (FPs, ≥3 deflections). Of all SPs, differences in relative R- and S-wave amplitude were calculated (R/S ratios). Time difference between first and last deflection was determined (fractionation duration, FD) and potentials with amplitudes < 1.0 mV were labeled as low-voltage. Conduction block (CB) was defined as a difference in local activation time (LAT) between adjacent electrodes of ≥12 ms.ResultsA total of 1,763,593 EGMs (9,331 ± 3,336 per patient) were classified (Table 1).ConclusionThe signal fingerprint, consisting of quantified EGM features, including the R/S ratio of SPs, the relative frequency distribution of unipolar voltages, the proportion of low-voltage areas, the proportion of the different types of EGMs, and durations of LDP and FDP, may serve as a diagnostic tool to determine the severity and extensiveness of conduction inhomogeneity. Further studies are required to determine whether the signal fingerprint can be used to identify patients at risk for AF onset or progression. |
| first_indexed | 2024-12-17T09:08:25Z |
| format | Article |
| id | doaj.art-0bc56005fbb14c868e9c5a583a08ca69 |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-12-17T09:08:25Z |
| publishDate | 2021-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj.art-0bc56005fbb14c868e9c5a583a08ca692022-12-21T21:55:20ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2021-03-011210.3389/fphys.2021.652128652128Signal Fingerprinting as a Novel Diagnostic Tool to Identify Conduction InhomogeneityZiliang YeMathijs S. van SchieNatasja M. S. de GrootBackgroundInhomogeneous intra-atrial conduction facilitates both initiation and perpetuation of atrial fibrillation (AF) and is reflected in electrogram (EGM) morphology.ObjectiveThe primary objective of this study is to investigate regional differences in features of different EGM types during sinus rhythm (SR) and to design a patient-specific signal fingerprint, which quantifies the severity and extensiveness of inhomogeneity in conduction.MethodsPatients (N = 189, 86% male; mean age 65 ± 9 years) undergoing coronary artery bypass grafting (CABG) underwent high-resolution mapping of the right atrium (RA), left atrium (LA), and pulmonary vein area (PVA) including Bachmann’s bundle (BB). EGMs during 5 s of SR were classified as single potentials (SPs), short double potentials (SDPs, interval between deflections < 15 ms), long double potentials (LDPs, deflection interval > 15 ms), or fractionated potentials (FPs, ≥3 deflections). Of all SPs, differences in relative R- and S-wave amplitude were calculated (R/S ratios). Time difference between first and last deflection was determined (fractionation duration, FD) and potentials with amplitudes < 1.0 mV were labeled as low-voltage. Conduction block (CB) was defined as a difference in local activation time (LAT) between adjacent electrodes of ≥12 ms.ResultsA total of 1,763,593 EGMs (9,331 ± 3,336 per patient) were classified (Table 1).ConclusionThe signal fingerprint, consisting of quantified EGM features, including the R/S ratio of SPs, the relative frequency distribution of unipolar voltages, the proportion of low-voltage areas, the proportion of the different types of EGMs, and durations of LDP and FDP, may serve as a diagnostic tool to determine the severity and extensiveness of conduction inhomogeneity. Further studies are required to determine whether the signal fingerprint can be used to identify patients at risk for AF onset or progression.https://www.frontiersin.org/articles/10.3389/fphys.2021.652128/fullsinus rhythmmappingconductionelectrogram analysiscardiac surgery |
| spellingShingle | Ziliang Ye Mathijs S. van Schie Natasja M. S. de Groot Signal Fingerprinting as a Novel Diagnostic Tool to Identify Conduction Inhomogeneity Frontiers in Physiology sinus rhythm mapping conduction electrogram analysis cardiac surgery |
| title | Signal Fingerprinting as a Novel Diagnostic Tool to Identify Conduction Inhomogeneity |
| title_full | Signal Fingerprinting as a Novel Diagnostic Tool to Identify Conduction Inhomogeneity |
| title_fullStr | Signal Fingerprinting as a Novel Diagnostic Tool to Identify Conduction Inhomogeneity |
| title_full_unstemmed | Signal Fingerprinting as a Novel Diagnostic Tool to Identify Conduction Inhomogeneity |
| title_short | Signal Fingerprinting as a Novel Diagnostic Tool to Identify Conduction Inhomogeneity |
| title_sort | signal fingerprinting as a novel diagnostic tool to identify conduction inhomogeneity |
| topic | sinus rhythm mapping conduction electrogram analysis cardiac surgery |
| url | https://www.frontiersin.org/articles/10.3389/fphys.2021.652128/full |
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