Backpropagation Based Analysis of Digitized Electrocardiogram
DOI:
https://doi.org/10.62431/drkrft20Keywords:
Digitalization, Artificial Intelligence, ECGAbstract
In this work, digitized ECG are downloaded from Physionet, features like time intervals and amplitudes are recorded and used in analysis & classification of data. A total of 95 beats are used in this study from MITBIH arrhythmia. 27 beats are used for training and 15 beats are used for training. A sensitivity of 72%, specificity of 98.61% and accuracy of 92.51% has been achieved which is comparable to other studies. The network used has 10-20-7 configuration.
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