Why the study?
In actual scenarios, it is difficult for an automatic diagnosis system to detect each heartbeat when facing new patients.
Does an active dual-scale residual convolutional LSTM neural network improve heartbeat classification accuracy?
Does an active dual-scale residual convolutional LSTM neural network improve heartbeat classification accuracy?
A novel active learning-based deep learning model significantly improves ECG heartbeat classification accuracy while requiring minimal additional labeled data.
No takes yet. Share an insight, caveat, or question.
May streamline ECG analysis with minimal labeling; hypothesis-generating and requires prospective validation before clinical use.
Jin et al. (2021) studied this question.
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