Tag: RNN

  • DL-Assisted ECG/EKG Anomaly Detection using LSTM Autoencoder

    DL-Assisted ECG/EKG Anomaly Detection using LSTM Autoencoder

    Featured Photo by Luan Rezende Automatic detection and alarm of abnormal electrocardiogram (ECG aka EKG) events play an important role in an ECG monitor system; however, popular classification models based on standard supervised ML fail to detect abnormal ECG accurately. In this project, we implement an ECG anomaly detection framework based on the recently proposed…

  • Short-term Stock Market Price Prediction using Deep Learning Models

      This blog is about short-term stock market price trend prediction using a comprehensive deep learning LSTM model. Results show that the model achieves overall high accuracy for stock market trend prediction. The following end-to-end sequence provides the detailed Python/Jupyter workflow from data processing to prediction, including the data exploration: 1. Data Preparation Phase #import libraries import…