Kiedie/TFG

Development of deep learning models based on convolutional and recurrent neuronal network for classification of arritmia using ECG. After preprocessing the ECG signals, CNN is applied for features extraction, followed by RNN for temporal feature treatment. Furthermore, the created models are compared with models obtained and supported by the literature.

Python