The time-sequenced adaptive algorithm: application to morphological adaptation and arrhythmia onset detection

An algorithm has been developed for morphologic adaptation and detection of arrhythmia onset. This is a computationally simple and patient-independent technique which adapts to subtle variations in electrogram morphology and promptly detects a change in morphology, as usually occurs at arrythmia onset. This technique also reduces the problem of costly detection time by quickly recognizing the onset of an arrhythmia within a few cardiac cycles. In a pilot study, the algorithm successfully adapted to electrogram morphology and identified the arrhythmia onset in a study of nine cases of onset of ventricular tachycardia during sinus rhythm.<
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