Key result
A vectorcardiography-based method for electrocardiographic imaging of myocardial infarction achieved scores of EPD=32, SO=0.933, and CED=1 on the CinC/Physionet Challenge 2007 database.
A novel vectorcardiography-based method for characterizing myocardial infarction location and extent demonstrated high performance in a standardized computational challenge.
Advances noninvasive MI localization for clinicians; extends ECG imaging validation on standardized computational benchmarks.
Hypothesis/Objective: The aim of this study is to characterize the location and extent of moderate to large, relatively compact infarcts using ECG evidence. Method: In this paper, we proposed a method on the basis of vectorcardiography which assumes that heart vector is proportional to relevant active depolarization area(s). To examine our ideas, we used the normal VCG which includes the information of location, amplitude, and direction of heart vector at any instant. The model based comparison of cases under study and relevant normal VCGs gives region i.e. segment(s) and depth i.e. extent of myocardial infarction. Results and Conclusion: We evaluated the method on CinC/Physionet Challenge 2007 database. In our final entry the scores of EPD equal to 32 (ranked 3 rd ), SO equal to 0.933 (ranked 3 rd ) and CED equal to 1 (ranked 1 st ) are achieved. It also ranked the third among the other methods proposed to CinC/Physionet Challenge 2007.
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Ghasemi et al. (2007) studied Myocardial infarction. Vectorcardiography-based method vs. Other methods in CinC/Physionet Challenge 2007 was evaluated on Algorithm performance (EPD, SO, CED scores). A vectorcardiography-based method for electrocardiographic imaging of myocardial infarction achieved scores of EPD=32, SO=0.933, and CED=1 on the CinC/Physionet Challenge 2007 database.
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