Preprocessing of unipolar signals acquired by a novel intracardiac mapping system
The novel high-density mapping system RhythmiaTM Medical (Boston Scientific, Marlborough, USA) allows a fast and automatic acquisition of intracardiac electrograms (EGMs). For recording the ORION mini-basket catheter is used. Due to the small electrode surface, the spatial averaging is smaller than...
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| Format: | Article |
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De Gruyter
2016-09-01
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| Series: | Current Directions in Biomedical Engineering |
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| Online Access: | https://doi.org/10.1515/cdbme-2016-0058 |
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doaj-ae041840d80f4b70beccc441adb4dca12021-09-06T19:19:23ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042016-09-012125926210.1515/cdbme-2016-0058cdbme-2016-0058Preprocessing of unipolar signals acquired by a novel intracardiac mapping systemHuck Salina0Oesterlein Tobias1Luik Armin2Schmitt Claus3Wakili Reza4Dössel Olaf5Institute of Biomedical Engineering (IBT), Karlsruhe Institute of Technology, Karlsruhe, GermanyInstitute of Biomedical Engineering (IBT), Karlsruhe Institute of Technology, Karlsruhe, GermanyStädtisches Klinikum Karlsruhe, Karlsruhe, GermanyStädtisches Klinikum Karlsruhe, Karlsruhe, GermanyMedizinische Klinik und Poliklinik I, LMU Klinikum der Universität München, München, GermanyInstitute of Biomedical Engineering (IBT), Karlsruhe Institute of Technology, Karlsruhe, GermanyThe novel high-density mapping system RhythmiaTM Medical (Boston Scientific, Marlborough, USA) allows a fast and automatic acquisition of intracardiac electrograms (EGMs). For recording the ORION mini-basket catheter is used. Due to the small electrode surface, the spatial averaging is smaller than with other commonly used mapping catheters. This results in a higher quality of unipolar signals. However, these are still corrupted by noise such as high frequency interference. Within this project, methods were developed and benchmarked that can be applied to detect and remove these undesired components. An algorithm was implemented to detect and eliminate artificial peaks in the spectrum of the EGM. The filtered signals showed improved quality in time domain. The performance of the spectral peak detection resulted in a median sensitivity of 92.1% and in a median positive predictive value of 91.9%.https://doi.org/10.1515/cdbme-2016-0058filteringintracardiac mappingunipolar electrogram |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Huck Salina Oesterlein Tobias Luik Armin Schmitt Claus Wakili Reza Dössel Olaf |
| spellingShingle |
Huck Salina Oesterlein Tobias Luik Armin Schmitt Claus Wakili Reza Dössel Olaf Preprocessing of unipolar signals acquired by a novel intracardiac mapping system Current Directions in Biomedical Engineering filtering intracardiac mapping unipolar electrogram |
| author_facet |
Huck Salina Oesterlein Tobias Luik Armin Schmitt Claus Wakili Reza Dössel Olaf |
| author_sort |
Huck Salina |
| title |
Preprocessing of unipolar signals acquired by a novel intracardiac mapping system |
| title_short |
Preprocessing of unipolar signals acquired by a novel intracardiac mapping system |
| title_full |
Preprocessing of unipolar signals acquired by a novel intracardiac mapping system |
| title_fullStr |
Preprocessing of unipolar signals acquired by a novel intracardiac mapping system |
| title_full_unstemmed |
Preprocessing of unipolar signals acquired by a novel intracardiac mapping system |
| title_sort |
preprocessing of unipolar signals acquired by a novel intracardiac mapping system |
| publisher |
De Gruyter |
| series |
Current Directions in Biomedical Engineering |
| issn |
2364-5504 |
| publishDate |
2016-09-01 |
| description |
The novel high-density mapping system RhythmiaTM Medical (Boston Scientific, Marlborough, USA) allows a fast and automatic acquisition of intracardiac electrograms (EGMs). For recording the ORION mini-basket catheter is used. Due to the small electrode surface, the spatial averaging is smaller than with other commonly used mapping catheters. This results in a higher quality of unipolar signals. However, these are still corrupted by noise such as high frequency interference. Within this project, methods were developed and benchmarked that can be applied to detect and remove these undesired components. An algorithm was implemented to detect and eliminate artificial peaks in the spectrum of the EGM. The filtered signals showed improved quality in time domain. The performance of the spectral peak detection resulted in a median sensitivity of 92.1% and in a median positive predictive value of 91.9%. |
| topic |
filtering intracardiac mapping unipolar electrogram |
| url |
https://doi.org/10.1515/cdbme-2016-0058 |
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