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This paper presents automatic detection and localization of myocardial infarction (MI) using back propagation neural networks (BPNN) classifier with features extracted from 12 lead ECG. Detection of MI aims to classify healthy and subjects having MI. Localization is the task of specifying the infarcted region of the heart. The electrocardiogram (ECG) source used is the PTB database available on Physio-bank...
This paper presents an effective technique for solving the prediction problem presented in Event-1 of Physionet Challenge 2009. In this challenge, the prediction of occurrence of an Acute Hypotension Episode (AHE) is to be made (in patients receiving pressor medication) using clinical data and medical signals prior to the start of a forecast window. The technique proposed in this paper uses time domain...
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