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Electro-cardiogram (ECG) –
Detection of R-peaks
Content
• How ECG is recorded?
• Why the ECG occurs?
• Detecting R-peaks and measuring the heart rate of a person using
MATLAB.
ECG Introduction
• The heart muscles contract and
expand to generate signals that
is recorded as ECG.
• ECG is the measured electrical
activity of the heart.
ECG Introduction
• This electrical activity and be measured
by placing electrodes at specific points on
the skin.
ECG Introduction
• An Ideal ECG looks like this
and it keeps repeating itself.
• We will try to detect the R-
peaks in this presentation.
R-peaks detection in MATLAB
• The ECG signal we
are going to work
with looks like this.
R-peaks detection in MATLAB
• A closer look at the
signal
Steps for Detection
1. Remove low frequency components
1. Change to frequency domain using fft
2. Remove low frequency components
3. Back to time domain using ifft
2. Find local maxima using windowed filter
3. Remove small values, store significant ones
4. Adjust filter size and repeat 2,3
1. Input
2. After removing low frequency
components.
3. Using a windowing filter
4. Thresholding
5. Using the adjusted filter
Final result of Algorithm
Calculating heart beat
• This is my contribution to the code.
• Heart Beat Rate in (beats/second) can
be calculated by the formula-
Rate= 60*sampling rate/(R-R interval)
Thanks!

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Iot based ECG monitoring system using node mcu

  • 2. Content • How ECG is recorded? • Why the ECG occurs? • Detecting R-peaks and measuring the heart rate of a person using MATLAB.
  • 3. ECG Introduction • The heart muscles contract and expand to generate signals that is recorded as ECG. • ECG is the measured electrical activity of the heart.
  • 4. ECG Introduction • This electrical activity and be measured by placing electrodes at specific points on the skin.
  • 5. ECG Introduction • An Ideal ECG looks like this and it keeps repeating itself. • We will try to detect the R- peaks in this presentation.
  • 6. R-peaks detection in MATLAB • The ECG signal we are going to work with looks like this.
  • 7. R-peaks detection in MATLAB • A closer look at the signal
  • 8. Steps for Detection 1. Remove low frequency components 1. Change to frequency domain using fft 2. Remove low frequency components 3. Back to time domain using ifft 2. Find local maxima using windowed filter 3. Remove small values, store significant ones 4. Adjust filter size and repeat 2,3
  • 9. 1. Input 2. After removing low frequency components. 3. Using a windowing filter 4. Thresholding 5. Using the adjusted filter
  • 10. Final result of Algorithm
  • 11. Calculating heart beat • This is my contribution to the code. • Heart Beat Rate in (beats/second) can be calculated by the formula- Rate= 60*sampling rate/(R-R interval)