Nengliang Ouyang

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The purpose of this study is to evaluate the usefulness of a feed-forward neural network trained by the back-propagation algorithm for diagnosing anterior wall myocardial Infarction (AI). Data used in the study are 165 ECG records. These ECG were all diagnosed as old AI by the commercially available computer-assisted ECG interpretation system (FCP4301), but(More)
We studied the ability of a neural network to identify the hypertrophic cardiac regions in hypertrophic cardiomyopathy, with the network using electrocardiographic (ECG) information alone. Computer-based electrocardiography remains a fundamental diagnostic method for analysis of cardiac contour and rhythm. Almost all patients with hypertrophic(More)
BACKGROUND The analytical performances of the NT-proBNP and BNP assays on the Cobas E601 and ADVIA Centaur were thoroughly evaluated. In addition, the values of BNP and NT-proBNP, which are heart failure markers, were compared in the diagnosis of HF patients with or without acute cerebral infarction since they could also be elevated in ischemic stroke. (More)
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