Deep Learning for Morphological Arrhythmia Classification in Encoded ECG Signal

Sandeep S. Mittal, Jack Rothberg,Kanad Ghose

2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)（2021）

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摘要

This paper introduces a technique for encoding ECG signals before transmission from a compact, low-power wearable ECG sensor in real time to a host device. Using the encoded ECG signal received via a Bluetooth link, a deep learning neural network model is proposed for execution on the host device to detect and classify arrhythmia in real time. The resulting system, called ACES (Arrhythmia Classifi...

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关键词

Deep learning,Neural networks,Prototypes,Electrocardiography,Rhythm,Encoding,Real-time systems

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