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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| Main Author: | |
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/67781 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |