Recurrent neural network based adaptive filtering technique for the extraction of foetal electrocardiogram

The authors propose a novel adaptive filtering technique, combining adaptive noise cancellation and adaptive signal enhancement in a single recurrent neural network employing a real time recurrent learning algorithm, which is suitable for the real-time processing of an abdominal foetal electrocardiogram and converges faster to a lower mean squared error.