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What is ECG Signal Identification via Neural Network about?

This undergraduate project report describes the development of an ECG signal identification system using a backpropagation neural network. The system aims to help diagnose heart rhythm abnormalities by interpreting ECG signals. ECG data was obtained from the MIT-BIH database and pre-processed before being used as inputs to the identification system. Discrete wavelet transform was used to extract features from the ECG signals. The system achieved an average accuracy of 91.3% in identifying normal and abnorma

Author

Nojher

Language

EN