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| ECG scatterplot characteristics of pararrhythmia |
| JING Yong-Ming, HUANG Yan |
| (Department of Electrocardiogram, 1. Yuncheng Tongde Hospital, Yuncheng Shanxi 044000; 2. Huadong Hospital Affiliated to Fudan University, Shanghai 200040, China) |
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Abstract Pararrhythmia is usually misdiagnosed as ordinary premature beats by fragments of body surface ECG while its three ECG characteristics are often found by longterm ambulatory electrocardiography(AECG). Comparatively, the ECG scatterplot features of pararrhythmia by analysis software are more clearly and regular, providing reliable references for diagnosing pararrhythmia quickly and accurately. In this paper, models of Lorenz scatterplot and difference scatterplot are made by dynamic mapping function and trajectory tracking function of the Geometers Sketchpad. Once the scatterplot characteristics are grasped, it is easy to identify pararrhythmia in AECG.
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2015, Vol. 24 
