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.

Bibliografiska uppgifter
Huvudupphovsmän: Promita, Samanta Tabassum, Biswas, Simon Abhijet, Mozumder, Nisat Islam, Taharat, Mamur
Övriga upphovsmän: Uddin, Jia
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2022
Ämnen:
Myocardial infarction
Deep learning
ECG signal
CNN
Transfer learning
ConvNet
VGG16
MobileNet
InceptionV3
Cognitive learning theory (Deep learning)
Neural networks (Computer science)
Länkar:http://hdl.handle.net/10361/16812

Internet

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

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