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Although implantable cardioverter-defibrillators have improved significantly in the past decades, the algorithms used in the identification of life-threatening arrhythmias are still not accurate enough. Conventional methods commonly misclassify tachycardias, sometimes initiating an unnecessary and uncomfortable treatment. In this paper, we proposed a new method for the identification of ventricular...
In this study, we have introduced the pattern classifier using the self-organizing map (SOM) for detecting fatal cardiac arrhythmia in implantable cardioverter-defibrillators (ICDs). The SOM has learned patterns of sinus rhythm, ventricular fibrillation and ventricular tachycardia with the feature vectors extracted from electrocardiogram and right ventricular volume measured during an arrhythmia induction...
This study discusses the validity of new methods of detecting fatal arrhythmia used for ICDs. The method utilizes the steady state gain of the system from the ECG signal to the ventricular volume signal. After analyzing the data measured in a dog, it has been shown that the system can be approximated by a second order resonant system. Moreover, it has been indicated that the batch-type least squares...
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