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Intelligent Engineering Systems through Artificial Neural Networks
Editor
Cihan H. Dagli
Cihan H. Dagli
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K. Mark Bryden
K. Mark Bryden
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Steven M. Corns
Steven M. Corns
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Mitsuo Gen
Mitsuo Gen
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Kagan Tumer
Kagan Tumer
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Gürsel Süer
Gürsel Süer
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ISBN:
9780791802953
No. of Pages:
636
Publisher:
ASME Press
Publication date:
2009

Premature ventricular contraction (PVC), left bundle brunch block (LBBB), and right bundle branch block (RBBB) are the three cardiac arrhythmias which can lead to or indicate the risk of heart failure. The goal of this research is to suggest an alternative way to diagnosing any potential of arrhythmia even when no specific arrhythmia features are observed. We propose new approaches in locating the arrhythmia features: Attractive Random Walk Distribution (aRWD) and Attractive Gaussian Walk Distribution (aGWD). We call the process of extracting the normal neighbor rhythm (NNR) from electrocardiogram (ECG) data with aGWD and aRWD WALKING. The extracted NNR is analyzed with simple data point competition (SDC) technique. The morphology of NNR is then recorded in tables with exponential fraction scale.

Abstract
Introduction
Database Download and Selection
Introducing Random Walk on ECG
Fulfill Random Walk Distribution on ECG
Attractive Random Walk
Determination of Peak — Simple Data Point Competition (SDC) Technique
Conclusions
References
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