A method for noninvasive beat‐by‐beat visualization of His bundle signals
Abstract 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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-09-01
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| Series: | Annals of Noninvasive Electrocardiology |
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| Online Access: | https://doi.org/10.1111/anec.13076 |
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| author | S. Sengottuvel S. Shenbaga Devi M. Sasikala S. Satheesh R. J. Selvaraj |
| author_facet | S. Sengottuvel S. Shenbaga Devi M. Sasikala S. Satheesh R. J. Selvaraj |
| author_sort | S. Sengottuvel |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-12T02:40:40Z |
| format | Article |
| id | doaj.art-d4f7fe5bea6a4b49836b7f5b8e9bb2a9 |
| institution | Directory Open Access Journal |
| issn | 1082-720X 1542-474X |
| language | English |
| last_indexed | 2024-03-12T02:40:40Z |
| publishDate | 2023-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | Annals of Noninvasive Electrocardiology |
| spelling | doaj.art-d4f7fe5bea6a4b49836b7f5b8e9bb2a92023-09-04T07:18:39ZengWileyAnnals of Noninvasive Electrocardiology1082-720X1542-474X2023-09-01285n/an/a10.1111/anec.13076A method for noninvasive beat‐by‐beat visualization of His bundle signalsS. Sengottuvel0S. Shenbaga Devi1M. Sasikala2S. Satheesh3R. J. Selvaraj4SQUIDs Applications Section, SQUID and Detector Technology Division Materials Science Group, Indira Gandhi Centre for Atomic Research Kalpakkam IndiaDepartment of Electronics and Communication Engineering, Centre for Medical Electronics Anna University Chennai IndiaDepartment of Electronics and Communication Engineering, Centre for Medical Electronics Anna University Chennai IndiaDepartment of Cardiology Jawaharlal Institute of Postgraduate Medical Education and Research Puducherry IndiaDepartment of Cardiology Jawaharlal Institute of Postgraduate Medical Education and Research Puducherry IndiaAbstract 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.https://doi.org/10.1111/anec.13076His bundle signalsHV intervalinterval‐dependent wavelet thresholdingmagnetocardiographysignal space projection |
| spellingShingle | S. Sengottuvel S. Shenbaga Devi M. Sasikala S. Satheesh R. J. Selvaraj A method for noninvasive beat‐by‐beat visualization of His bundle signals Annals of Noninvasive Electrocardiology His bundle signals HV interval interval‐dependent wavelet thresholding magnetocardiography signal space projection |
| 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 | His bundle signals HV interval interval‐dependent wavelet thresholding magnetocardiography signal space projection |
| url | https://doi.org/10.1111/anec.13076 |
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