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- W2600602178 abstract "ECG is non stationery signal which is used by medical practioners to know about the indication of cardiac state of any patient. These indicators can be permanent or may occur randomly according to the cardiac state. An approach is used in which ECG signals are compared to find disorders. This paper develops an approach with the combination of wavelet transform and Discriminant analysis. The proposed algorithm extracts features from ECG signals and classify them using classifier. Classifier is further categorized ad linear Discriminant analysis and quadratic Discriminant analysis. These classifiers make classes of different ECG signals. Classification is made on the basis of variance, standard deviation, Skewness and kurtosis. Software used is MATLAB2011a." @default.
- W2600602178 created "2017-04-07" @default.
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- W2600602178 date "2014-09-08" @default.
- W2600602178 modified "2023-09-23" @default.
- W2600602178 title "Automatic Classification of Cardiac Signals using LDA and QDA" @default.
- W2600602178 hasPublicationYear "2014" @default.
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