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ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic Forecaster
2015
The Scientific World Journal
The paper deals with ECG prediction based on neural networks classification of different types of time courses of ECG signals. The main objective is to recognise normal cycles and arrhythmias and perform further diagnosis. We proposed two detection systems that have been created with usage of neural networks. The experimental part makes it possible to load ECG signals, preprocess them, and classify them into given classes. Outputs from the classifiers carry a predictive character. All
doi:10.1155/2015/205749
pmid:26221620
pmcid:PMC4499654
fatcat:mu7ua5wxfra6noemt7szkzsjva