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Heart diseases classification using convolutional neural network
Nikhil Gawande,
Published in Institute of Electrical and Electronics Engineers Inc.
Volume: 2018-January
Pages: 17 - 20
Heart disease is canopy term for any disorder that distress health of an individual. There are heart diseases like Ischemic heart disease, arrhythmia etc. These diseases can be classified using Electrocardiography(ECG) signal. ECG is preferred to the display condition of the patient and for the diagnosis and treatment of various types of cardiac diseases. The variations in P-wave, QRS complex and T-wave parameters in ECG are used to identify the type of illness of the human heart. some heart diseases are not served though other may prove fatal. Thus, there is need of classification of different heart diseases. To classify various heart diseases, it is intended to implement CNN algorithm in the proposed work. © 2017 IEEE.
About the journal
JournalData powered by Typeset2017 2nd International Conference on Communication and Electronics Systems (ICCES)
PublisherData powered by TypesetInstitute of Electrical and Electronics Engineers Inc.
Open AccessNo