Variation of ECG features on torso plane: An innovative approach to myocardial infarction detection
2007 Computers in Cardiology, 2007•ieeexplore.ieee.org
Objective: The aim of this study is to found how well one can characterize the location and
extent of relatively compact infarcts using electrocardiographic evidence. Method: Here, we
address a method base on behavior of some ECG's features, which are Q, amplitudes and
ST dispersion. We call these Q and ST curves. At the first step, by plotting the variability of Q,
amplitude and ST dispersion for nodes which lies in lines on torso plane, these curves are
obtained. The behavior of the mentioned curves for normal lines both in horizontal and …
extent of relatively compact infarcts using electrocardiographic evidence. Method: Here, we
address a method base on behavior of some ECG's features, which are Q, amplitudes and
ST dispersion. We call these Q and ST curves. At the first step, by plotting the variability of Q,
amplitude and ST dispersion for nodes which lies in lines on torso plane, these curves are
obtained. The behavior of the mentioned curves for normal lines both in horizontal and …
Objective
The aim of this study is to found how well one can characterize the location and extent of relatively compact infarcts using electrocardiographic evidence.
Method
Here, we address a method base on behavior of some ECG's features, which are Q, amplitudes and ST dispersion. We call these Q and ST curves. At the first step, by plotting the variability of Q, amplitude and ST dispersion for nodes which lies in lines on torso plane, these curves are obtained. The behavior of the mentioned curves for normal lines both in horizontal and vertical line differ from the abnormal ones. A threshold method is used here to determine the infarcted area.
Results and Conclusion
The method is evaluated on Challenge 2007 database. The results are EPD=8, SO=0.944, and CED=1. The method achieved the best EPD and CED scores and the second place for SO and overall ranked the highest scores (first rank) in CinC/PhysioNet Challenge 2007.
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