Every Journey Starts With One Step

portfolio page title image
portfolio single project portfolio second image portfolio project slider image portfolio project slider image

Heart Function Monitoring, Prediction and Prevention of Heart Attacks

  • Client: Confidential

  • Date: December 2017

  • Skills: Java, R-Programming, Python, MySql.

We have developed an efficient method to acquire the clinical and ECG data, so as to train the Artificial Neural Network to accurately diagnose the heart and predict abnormalities if any. The overall process can be categorized into three steps. Firstly, we acquire the ECG of the patient by standard 3 lead pre jelled electrodes. The acquired ECG is then processed, amplified and filtered to remove any noise captured during the acquisition stage. Finally we use these two data’s i.e. ECG and clinical data to train the neural network for classifying the heart disease and to predict abnormalities in the heart or it’s functioning.

  • SVM Classfication

  • H2O

  • Neural Network

  • Deep Learing Neural Network

Launch website

Related Projects

Check our latest portfolio projects. Sure you'll find something interesting.

Have a question feel free to call us?

You can contact us regarding your queries on Landline no.: 020-24377740 Phone no.: 7721917721