ECG SIGNAL GENERATED FROM DATA BASE USING MATLAB

HERE I FIND FOURIER TRANSFORM OF ECG SIGNAL USING MATLAB. THE SIGNAL IS COLLECTED FROM DATABASE AND I GIVEN HERE MATLAB CODE

1. FOURIER TRANSFORM OF ECG SIGNAL DATA DOWNLOAD FROM DATABASE

2. INTRODUCTION Electrocardiography  ( ECG  or  EKG ) is the process of recording the electrical activity of the  heart  over a period of time using  electrodes  placed on the skin. These electrodes detect the tiny electrical changes on the skin that arise from the  heat muscle's   electrophysiologic  pattern of depolarizing and  repolarizing during each heartbeat. It is very commonly performed to detect any cardiac problems.

3. I n a conventional 12-lead ECG, ten electrodes are placed on the patient's limbs and on the surface of the chest. The overall magnitude of the heart's electrical potential.   Is then measured from twelve different angles ("leads") and is recorded over a period of time (usually ten seconds ). In this way, the overall magnitude and direction of the heart's electrical depolarization is captured at each moment throughout the cardiac cycle. The graph of voltage versus time produced by this  noninvasive medical procedure is an  electrocardiogram . LEAD PLACEMENTS

4. 3 distinct waves are produced during cardiac cycle. P wave- artial depolarization. QRS complex-ventricular depolarization. T-wave-ventricular repolarization .

5. DEPOLARIZATION AND REPOLARIZATION OF HEART

6. FOURIER TRANSFORMATION The Fourier transform is a mathematical function that takes a time-based pattern as input and determines the overall cycle offset, rotation speed and strength for every possible cycle in the given pattern . The Fourier transform is applied to waveforms which are basically a function of time, space or some other variable . The Fourier transform decomposes a waveform into a sinusoid and thus provides another way to represent a waveform.

7. Use matlab to plot the fourier transformed signal of ecg Data is collected from data base OBJECTIVE

8. HOW TO COLLECT DATA FROM DATABASE

9. First go to physionet website Then go to physiobank After go databases Then go to wave forms and then to ecg data base After collecting data Data is saved in matfile This file is opened physiobank atm Then write a code on matlab How to collect data

10. load('100m') x= val (1,:); subplot(2,1,1); plot(x); xlabel ('time'); ylabel ('amplitude'); title('ECG SIGNAL'); y= fft (x); z=abs(y); subplot(2,1,2); plot(z); xlabel ('time'); ylabel ('amplitude'); title('FOURIER TRANFORM OF ECG SIGNAL'); MATLAB CODE

11. This collection of 48 fully annotated half-hour two-lead ECGs is available here in its entirety. The MIT-BIH Arrhythmia Database Directory is also available on-line. MIT ARRHYTHMIA DISEASE

12. MIT ARRHYTHMIA DISEASE

13. This is a collection of long-term ECG recordings of patients who experienced sudden cardiac death during the recordings. Half-hour excerpts of these recordings are available as the MIT-BIH Malignant Ventricular Arrhythmia Database sudden cardiac death of holstier

14. sudden cardiac death of holstier

15. Five-minute multichannel fetal ECG recordings, with cardiologist-verified annotations of all fetal heart beats, from five women in labor, from the Medical University of Silesia, Poland. Each record includes four signals from the maternal abdomen and a simultaneously recorded reference direct fetal ECG from the fetal scalp; all signals are sampled at 1 KHz with 16-bit resolution. ABNORMAL AND DIRECT FeCTAL DATABASE

16. ABNORMAL AND DIRECT FeCTAL DATABASE

17. ECG ID DATA BASE  Between 2 and 20 short single-lead ECG recordings from 90 volunteers, collected to support studies of using the ECG for biometric identification. An excellent summary of the thesis for which this collection was assembled is also available.

18. ECG ID DATA BASE

19. We conclude that ECG are used to diagnosed to heart related problems and used to physiology of organs. This is very useful technique of reduce heart attacks CONCLUSION

20. https://physionet.org/ https://physionet.org/physiobank/database/mitdb/ https://physionet.org/physiobank/database/ecgiddb/ REFFERENCES

21. THANK YOU