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Welcome
To My Presentation
Course Code : EEE-321
Course title :
Digital Signal Processing
Submitted to:
Subir Sarker
Lecturer
Daffodil International University
Submitted By:
Md. Anowar Hossain
ID: 131-33-1410
Dept. of EEE (Evening)
Section: A
ECG Signal Processing
My Presentation Topic is:
Introduction
What is Electrocardiogram?
• diagnostic tool that graphically
measures and records the
electrical activity of the heart in
detail.
• used in the extraction of vital
characteristic parameters.
How signal processing important in ECG?
• When an electrical potential is
generated in a section of the
heart, an electrical current is
conducted to the body
surface in a specific area.
How ECG operates?
Matlab Functionality in ECG
• Fast Fourier Transform (FFTs)
• Filter
- extraction of relevant signal.
• Stem graphs
The major sources of noise
1. Power line interference
2. Muscle contractions
3. Electrode contact noise
4. Motion Artifacts
5. Baseline wandering
6. Noise generated by electronic devices
used in signal processing circuits
7. Electrical interference external to the
subject and recording system
8. High-frequency noises in the ECG
9. Breath, lung, or bowel sounds
contaminating the heart sounds (PCG).
The ECG
How ECG works.
 An ECG signal is due to ionic current flow
causing the cardiac fibers to contract
and relax, subsequently, generating a
time variant periodic signal
 the potential difference between two
electrodes placed on the skin surface is
considered as an input to the ECG
plotter
Mother Wavelet
 applied for denoising of the ECG signal
 retains the signal peaks close to their full
amplitude
Wavelet Theory
 signal compression
 feature extraction
 small extent in denoising
Noise Solutions
ECG Signal Processing aims
 artefact reduction
 ECG signals cleaner
 better interpretable
 at revealing aspects not immediately
observable
 at diagnostics decision support and
automated ECG signal interpretation
Sample Matlab code of ECG
Output Figure:
ECG

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ECG

  • 2. Course Code : EEE-321 Course title : Digital Signal Processing
  • 4. Submitted By: Md. Anowar Hossain ID: 131-33-1410 Dept. of EEE (Evening) Section: A
  • 5. ECG Signal Processing My Presentation Topic is:
  • 6. Introduction What is Electrocardiogram? • diagnostic tool that graphically measures and records the electrical activity of the heart in detail.
  • 7. • used in the extraction of vital characteristic parameters. How signal processing important in ECG? • When an electrical potential is generated in a section of the heart, an electrical current is conducted to the body surface in a specific area. How ECG operates?
  • 8. Matlab Functionality in ECG • Fast Fourier Transform (FFTs) • Filter - extraction of relevant signal. • Stem graphs
  • 9. The major sources of noise 1. Power line interference 2. Muscle contractions 3. Electrode contact noise 4. Motion Artifacts 5. Baseline wandering 6. Noise generated by electronic devices used in signal processing circuits 7. Electrical interference external to the subject and recording system 8. High-frequency noises in the ECG 9. Breath, lung, or bowel sounds contaminating the heart sounds (PCG).
  • 11. How ECG works.  An ECG signal is due to ionic current flow causing the cardiac fibers to contract and relax, subsequently, generating a time variant periodic signal  the potential difference between two electrodes placed on the skin surface is considered as an input to the ECG plotter
  • 12. Mother Wavelet  applied for denoising of the ECG signal  retains the signal peaks close to their full amplitude Wavelet Theory  signal compression  feature extraction  small extent in denoising Noise Solutions
  • 13. ECG Signal Processing aims  artefact reduction  ECG signals cleaner  better interpretable  at revealing aspects not immediately observable  at diagnostics decision support and automated ECG signal interpretation