  We propose an ECG denoising method based on a feed forward neural network
with three hidden layers. Particulary useful for very noisy signals, this
approach uses the available ECG channels to reconstruct a noisy channel. We
tested the method, on all the records from Physionet MIT-BIH Arrhythmia
Database, adding electrode motion artifact noise. This denoising method
improved the perfomance of publicly available ECG analysis programs on noisy
ECG signals. This is an offline method that can be used to remove noise from
very corrupted Holter records.
