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Biometrie identification from raw ECG signal using deep learning techniques.
Lukasz Wieclaw
Yuriy Khoma
Pawel Falat
Dmytro Sabodashko
Veronika Herasymenko
Published in:
IDAACS (2017)
Keyphrases
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deep learning
ecg signals
unsupervised learning
unsupervised feature learning
power line
machine learning
biomedical signals
weakly supervised
mental models
heart rate
deep architectures
feature extraction
natural language processing
mit bih arrhythmia database