201. Advanced Intracardial Biosignal Processing
- Author
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Petr Klimes, David Korpas, Jakub Pindor, Marek Penhaker, Technical University of Ostrava [Ostrava] (VSB), Silesian University in Opava, Agostino Cortesi, Nabendu Chaki, Khalid Saeed, Sławomir Wierzchoń, and TC 8
- Subjects
Computer science ,business.industry ,[SHS.INFO]Humanities and Social Sciences/Library and information sciences ,Cardiology clinic ,iECG ,Processing ,computer.software_genre ,Detection ,ECG analysis ,Computer vision ,[INFO]Computer Science [cs] ,Biosignal ,Artificial intelligence ,Data mining ,business ,Filtering ,computer - Abstract
Part 4: Biometric Applications; International audience; In this work deals about the efficient intracardial ECG analysis algorithm. The main focus was design an optimal detection method for intracardial signals based on essential intracardial measuring methods and basic principles of gathering and processing data from invasive catheters. Intracardial ECG analysis is further important step in heart behavior understanding, especially it’s electric manners. Detailed signal description generated in heart,together with heart function knowledge can provide us with an useful information about heart’s condition or it’s diseases. Designed detection methodis able to mark significant points in intracardial records, compute it‘s elemental parameters and important time intervals. Incurred algorithm was designed and tested on intracardial records provided by Cardiology Clinic of Hospital IKEM – Praha, and Electrophysiology Laboratory of Hospital Podlesi – Trinec.
- Published
- 2012