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A survey on ECG signal monitoring through sensor and prediction of heart attack with the help of optimized neural network using genetic algorithm
, Amit S. Wale, Shilpa S. Sonawani
Published in
Volume: 8.0
Issue: 1.0
Pages: 148.0 - 155.0
Heart Attacks are the major cause of death in the world today, particularlyin India. The need to predict this is a major necessity for improving the countrieshealthcare sector. Accurate and precise prediction of the heart disease mainly depends onElectrocardiogram (ECG) data. Heart disease is a major life threatening disease that causeto death and it has a serious long term disability. The time taken to recover from heartdisease depends on patient’s severity. Heart disease diagnosis is complex task whichrequires much experience and knowledge. Nowadays, health care industry contain hugeamount of health care data, which contain hidden information. Advanced data miningtechniques along with computer generated information are used for appropriate results.Neural Network is widely used tool for predicting heart attack. A Heart Attack PredictionSystem we are going to develop using Neural Network and Genetic Algorithm. Thissystem calculates the number of hidden nodes for neural network which train the networkwith proper selection of neural network architecture and uses the global optimization ofgenetic algorithm for initialization of neural network.
About the journal
JournalInternational Journal of Latest Trends in Engineering and Technology
Open AccessYes