| abstract |
The application is directed to a method for automatically classifying intracardiac electrograms, and a system for performing the method. In a further aspect, it concerns an implantable cardioverter defibrillator which incorporates the system and uses the method to monitor cardiac activity and deliver appropriate treatment. The method uses a combination of timing analysis and pattern matching using a neural network in order to correctly classify the electrograms. This technique allows both changes in rate and morphology to be taken into account. |