title: Real-time feedback of dynamic cardiac repolarization properties.
abstract: 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.
authors.affiliation: Department of Mechanical Engineering, University College London, WC1E 7JE United Kingdom.
authors.forename: David
authors.initials: D
authors.lastname: Western
authors.forename: Peter
authors.initials: P
authors.lastname: Taggart
authors.forename: Ben
authors.initials: B
authors.lastname: Hanson
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000465:Algorithms; D004562:Electrocardiography / Q000379:methods*; D025461:Feedback, Physiological / Q000502:physiology*; D006329:Heart Conduction System / Q000502:physiology*; D006801:Humans; D016018:Least-Squares Analysis; D008955:Models, Cardiovascular; D032383:Myocytes, Cardiac / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted