Danica Simic on Instagram: "Signal analysis using deep learning Jokes aside, I built an ECG Signal Analysis deep learning model using CNN-LSTM architecture to detect heart arrhythmias. The reason why I combined CNN (Convolutional Neural Networks) and LSTM recurrent neural networks is because of their excellent spatial pattern recognition which is important for PQRST waves. CNN excels at spatial pattern recognition LSTM captures temporal dependencies (rhythm patterns) So in the end I got a crazy

2D Fourier transform in Python: Create any image using only sine functions