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A method for noninvasive beat‐by‐beat visualization of His bundle signals
BACKGROUND: Invasive recording of His bundle signals (HBS) in electrophysiological study (EPS) is important in determining HV interval, the time taken to activate the ventricles from the His bundle. Noninvasive surface measurements of HBS are attempted by averaging typically 100–200 cardiac cycles o...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475892/ https://www.ncbi.nlm.nih.gov/pubmed/37496182 http://dx.doi.org/10.1111/anec.13076 |
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author | Sengottuvel, S. Shenbaga Devi, S. Sasikala, M. Satheesh, S. Selvaraj, R. J. |
author_facet | Sengottuvel, S. Shenbaga Devi, S. Sasikala, M. Satheesh, S. Selvaraj, R. J. |
author_sort | Sengottuvel, S. |
collection | PubMed |
description | BACKGROUND: Invasive recording of His bundle signals (HBS) in electrophysiological study (EPS) is important in determining HV interval, the time taken to activate the ventricles from the His bundle. Noninvasive surface measurements of HBS are attempted by averaging typically 100–200 cardiac cycles of ECG time series in body surface potential mapping (BSPM) and in magnetocardiography (MCG) which records weak cardiac magnetic fields by highly sensitive detectors. However, noninvasive beat‐by‐beat extraction of HBS is challenged by ramp‐like atrial signals and noise in PR segment of the cardiac cycle. METHODS: By making use of a signal‐averaged trace showing prominent HBS as a guide trace, we developed a method combining interval‐dependent wavelet thresholding (IDWT) and signal space projection (SSP) technique to eliminate artifacts from single beats. The method was applied on MCG recorded on 21 subjects with known HV intervals based on EPS and noninvasive signal‐averaging, including five subjects with BSPM recorded subsequently. The method was also applied on stress‐MCG of a subject featuring autonomic dynamics. RESULTS: HBS could be extracted from 19 out of 21 subjects by signal‐averaging whose timing differed from EPS between −8 and 11 ms as tested by 2 observers. HBS in single beats were seen as aligned patterns in inter‐beat contours and were appreciable in stress‐MCG and conspicuous than BSPM. The performance of the method was evaluated on simulated and measured MCG to be adequate if the signal‐to‐noise ratio was at least 20 dB. CONCLUSIONS: These results suggest the use of this method for noninvasive assessments on HBS. |
format | Online Article Text |
id | pubmed-10475892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104758922023-09-05 A method for noninvasive beat‐by‐beat visualization of His bundle signals Sengottuvel, S. Shenbaga Devi, S. Sasikala, M. Satheesh, S. Selvaraj, R. J. Ann Noninvasive Electrocardiol Original Articles BACKGROUND: Invasive recording of His bundle signals (HBS) in electrophysiological study (EPS) is important in determining HV interval, the time taken to activate the ventricles from the His bundle. Noninvasive surface measurements of HBS are attempted by averaging typically 100–200 cardiac cycles of ECG time series in body surface potential mapping (BSPM) and in magnetocardiography (MCG) which records weak cardiac magnetic fields by highly sensitive detectors. However, noninvasive beat‐by‐beat extraction of HBS is challenged by ramp‐like atrial signals and noise in PR segment of the cardiac cycle. METHODS: By making use of a signal‐averaged trace showing prominent HBS as a guide trace, we developed a method combining interval‐dependent wavelet thresholding (IDWT) and signal space projection (SSP) technique to eliminate artifacts from single beats. The method was applied on MCG recorded on 21 subjects with known HV intervals based on EPS and noninvasive signal‐averaging, including five subjects with BSPM recorded subsequently. The method was also applied on stress‐MCG of a subject featuring autonomic dynamics. RESULTS: HBS could be extracted from 19 out of 21 subjects by signal‐averaging whose timing differed from EPS between −8 and 11 ms as tested by 2 observers. HBS in single beats were seen as aligned patterns in inter‐beat contours and were appreciable in stress‐MCG and conspicuous than BSPM. The performance of the method was evaluated on simulated and measured MCG to be adequate if the signal‐to‐noise ratio was at least 20 dB. CONCLUSIONS: These results suggest the use of this method for noninvasive assessments on HBS. John Wiley and Sons Inc. 2023-07-26 /pmc/articles/PMC10475892/ /pubmed/37496182 http://dx.doi.org/10.1111/anec.13076 Text en © 2023 The Authors. Annals of Noninvasive Electrocardiology published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Sengottuvel, S. Shenbaga Devi, S. Sasikala, M. Satheesh, S. Selvaraj, R. J. A method for noninvasive beat‐by‐beat visualization of His bundle signals |
title | A method for noninvasive beat‐by‐beat visualization of His bundle signals |
title_full | A method for noninvasive beat‐by‐beat visualization of His bundle signals |
title_fullStr | A method for noninvasive beat‐by‐beat visualization of His bundle signals |
title_full_unstemmed | A method for noninvasive beat‐by‐beat visualization of His bundle signals |
title_short | A method for noninvasive beat‐by‐beat visualization of His bundle signals |
title_sort | method for noninvasive beat‐by‐beat visualization of his bundle signals |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475892/ https://www.ncbi.nlm.nih.gov/pubmed/37496182 http://dx.doi.org/10.1111/anec.13076 |
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