The First of Many Posts
![Image](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiFqRQ4dG9sBNXtGPufAEhv416eqZ8VhI8Yp0PLzxMzrPzalXajUdM8WZ60YvGM9qSZMVLEsGlKThvJQU3oji5hssZCTqaLM31z1kjMvBX9cvSgpF0bOmtv2Tl2-QWoFHVa2vEN9h52W_C7Nf5c6RxWvX3NLIW9Ubh7ec-eJsa8BFVoCSHmKCJ2pGfO-Q/s320/ecg.gif)
Objective This Project Utilizes single lead ECG data acquired from the physio net database. Feature Extraction Techniques used in this project include wavelet scattering transform and 15 statistical time feature. A neural and non-neural based approach has been used to create a working classifier Let me show you a visual representation Link to Access the dataset: https://physionet.org/about/database/ Before the Next Post let me leave you with a visualization of wavelet scattering Till the Next ONE