Western David, Taggart Peter, Hanson Ben
Department of Mechanical Engineering, University College London, WC1E 7JE United Kingdom.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:114-7. doi: 10.1109/IEMBS.2010.5626087.
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.
心律失常是一个重大的健康问题，也是许多研究和计算建模的主题。这项研究的影响受到人类数据可用性以及将其转化为临床实践的困难的限制。本文描述了一个用于分析心脏电信号的专家系统，该系统使用启发式算法检测局部激活和复极化时间，这些算法会自动剔除被认为不可靠的测量值。这个全自动系统实时运行，为心脏病专家提供关于推导的动态复极化模型的反馈，这可能会显著提高研究能力，并产生新的诊断技术和治疗方法。
