Video 53: ECG based Heart Disease Diagnosis using Wavelet Features and Deep CNN (Arrhythmia detection)

Hello viewers. This is recorded video of an invited guest lecture delivered by me in an international conference held in July 2021.

This video is about heart disease diagnosis using wavelet features and deep CNN mainly focusing on Arrhythmia detection and heart rate estimation.

This video includes following contents.

• Introduction (Problem Statement).
• Basics of ECG signals and QRS Complex. 
• ECG Database on PhysioNet.
• Proposed wavelet based algorithm for Heart Rate estimation and Arrhythmia detection.
• Deep CNN based approach of Arrhythmia detection.
• Conclusions.

This lecture is based on my previously published YouTube videos, which you can find on following links.

1. ECG signals Classification using CWT and Deep Neural Network in MATLAB: Click Here
2. ECG's QRS Peak Detection and Heart Rate Estimation using Discrete Wavelet Transform (DWT) in MATLAB: Click Here

Other Links:

1. PhysioNet: https://physionet.org/

2. PhysioNet Databases: https://physionet.org/about/database/

3. PhysioNet Bank ATM: https://archive.physionet.org/cgi-bin/atm/ATM

4. ECG signal database GitHub repository:

     https://github.com/mathworks/physionet_ECG_data/

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Video 52: LTI System Analysis using Python (With Python Code)

 

Hello Viewers, In this video, the introduction to LTI systems is described. Also various time domain and frequency domain analysis of LTI systems are implemented using Python. The Python program can plot various time response curves such as Impulse response, Step response and Ramp response. It can also give various stability plots such as Root locus, Nyquist plot, Bode plot, Log magnitude vs Phase plot (Nichols Plot) and Pole-zero plot.

The Python implementation is done using Spyder IDE in Anaconda environment. The Python Control System Library (v0.9.0) is used to write Python program.

This video includes following contents:

• Introduction to LTI systems.
• Various (Time domain/ Freq. domain) analysis of LTI systems.
• Anaconda and Spyder for Python implementation.
• Python Control System Library (v0.9.0).
• Python code for LTI System Analysis.

Link for previous video,

1. LTI System Analyzer using MATLAB GUI: Click Here

Other Links:

1. Anaconda Download: https://www.anaconda.com/distribution/

2. Spyder IDE: https://www.spyder-ide.org/

3. Python Control System Library (0.9.0): https://python-control.readthedocs.io/en/0.9.0/index.html

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