ARRHYTHMIA CLASSIFICATION USING ECG AND PPG SIGNALS WITH CONVOLUTIONAL NEURAL NETWORK METHOD

ARRHYTHMIA CLASSIFICATION USING ECG AND PPG SIGNALS WITH CONVOLUTIONAL NEURAL NETWORK METHOD

Arrhythmia is a condition where the heart beats in an irregular rhythm due to abnormalities in its electrical impulse transmission. In this research, convolutional neural network (CNN) is used for arrhythmia classification based on ECG and PPG signals. The classification is done according to arrh...

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Bibliographic Details
Main Author:	Monika Saphira, Tasya
Format:	Final Project
Language:	Indonesia
Online Access:	https://digilib.itb.ac.id/gdl/view/67781
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Institut Teknologi Bandung
Language:	Indonesia

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