heart arrhythmia detection
Heart arrhythmia detection using Deep Learning
A common problem that Deep Learning is helping to solve lately involves time series classification. A classic approach to this kind of problem is generating features from the signals we have and training a machine learning model. The process of handcrafting features might take a great chunk of your project schedule. This architecture has proven to be effective in order to reduce the amount of time spent on feature engineering. In this article, we're going to train a couple of models to detect irregular heart rhythms.