Widman L E
Research Service, Albuquerque Veterans Administration Medical Center, NM.
Proc Annu Symp Comput Appl Med Care. 1991:441-5.
Contemporary cardiac arrhythmia monitors, used commonly in intensive care settings, are highly sensitive to artifact, resulting in high false alarm rates, inability to detect P waves reliably, and crude rhythm interpretation. We report on two new approaches that address these problems: a noise preprocessor that characterizes the type and degree of artifact in an ECG, and a model-based rhythm interpretation algorithm.
当代心律失常监测器常用于重症监护环境,对伪差高度敏感,导致误报率高、无法可靠检测P波以及心律解读粗略。我们报告了两种解决这些问题的新方法:一种噪声预处理器,可表征心电图中伪差的类型和程度;以及一种基于模型的心律解读算法。