Kinetic gas molecule optimisation neural network for classification of electrocardiogram signals to identify heart disorder

Kinetic gas molecule optimisation neural network for classification of electrocardiogram signals to identify heart disorder

Electrocardiogram (ECG) is an important biomedical tool for the diagnosis of heart disorders. Recent studies have worked a lot on designing automatic diagnosis systems to help physicians. However, automatic study of ECG patterns and heart rate variability is difficult due to the large variation in t...

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主要作者:	Moein, Sara
格式:	Thesis
出版:	2012
主題:	QA76.75-76.765 Computer software
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