Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Bibliografiset tiedot
Päätekijät: Promita, Samanta Tabassum, Biswas, Simon Abhijet, Mozumder, Nisat Islam, Taharat, Mamur
Muut tekijät: Uddin, Jia
Aineistotyyppi: Opinnäyte
Kieli:English
Julkaistu: Brac University 2022
Aiheet:
Myocardial infarction
Deep learning
ECG signal
CNN
Transfer learning
ConvNet
VGG16
MobileNet
InceptionV3
Cognitive learning theory (Deep learning)
Neural networks (Computer science)
Linkit:http://hdl.handle.net/10361/16812

Internet

http://hdl.handle.net/10361/16812

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