From: https://towardsdatascience.com/lstm-fcn-for-cardiology-22af6bbfc27b We will work on the application of the algorithm on a database containing electrocardiograms (ECG) of 2 different types, and see if this new model can help detect patients at a high risk of sudden death. LSTM-FCN architecture LSTM-FCN architecture (source: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8141873) This algorithm consists of 2 parts: a LSTM block and a FCN … Continue reading LSTM-FCN for cardiology →

From: https://towardsdatascience.com/detecting-heart-arrhythmias-with-deep-learning-in-keras-with-dense-cnn-and-lstm-add337d9e41f Let’s detect abnormal heart beats from a single ECG signal From: https://towardsdatascience.com/detecting-heart-arrhythmias-with-deep-learning-in-keras-with-dense-cnn-and-lstm-add337d9e41f Introduction Recently, I was reviewing Andrew Ng’s team’s work(https://stanfordmlgroup.github.io/projects/ecg/) on heart arrhythmia detector with convolutional neural networks (CNN). I found this quite fascinating especially with the emergence of wearable products (e.g. Apple Watch and portable EKG machines) that are capable of … Continue reading Detecting Heart Arrhythmias with Deep Learning in Keras with Dense, CNN, and LSTM →