Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders
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DOI: 10.1109/access.2019.2912036
Abstract: The electrocardiogram (ECG) is an efficient and noninvasive indicator for arrhythmia detection and prevention. In real-world scenarios, ECG signals are prone to be contaminated with various noises, which may lead to wrong interpretation. Therefore, significant… read more here.
Keywords: fully convolutional; ecg signals; proposed fcn; noise ... See more keywords