Key result
A fully-automated expert system was developed to operate in real-time, analyzing cardiac electrogram signals to detect local activation and repolarization times and provide feedback to cardiologists.
Describes a real-time expert system for analyzing cardiac electrograms to detect activation and repolarization times, potentially enhancing research and diagnostic capabilities.
May enable real-time EP lab feedback; leaves open prospective validation for clinical outcomes.
Arrhythmia is a major health problem and is the subject of much research and computational modeling. The impact of this research has been limited by the availability of human data and by difficulties in its translation to clinical practice. This paper describes an expert system for analysis of cardiac electrogram signals, detecting local activation and repolarization times using heuristic algorithms that incorporate automatic rejection of measurements that are deemed to be unreliable. The fully-automated system operates in real-time to provide feedback to cardiologists of derived dynamic repolarization models, which could dramatically enhance research capabilities and produce novel diagnostic techniques and therapies.
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Western et al. (2010) studied Arrhythmia. Expert system for analysis of cardiac electrogram signals was evaluated. A fully-automated expert system was developed to operate in real-time, analyzing cardiac electrogram signals to detect local activation and repolarization times and provide feedback to cardiologists.
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