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

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