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# Ecg compression using fft

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ECG COMPRESSION USING
FFT
The electrocardiogram (ECG) is a diagnostic tool that is routinely used to assess the electrical and muscular functions of the heart. Sometimes it is required to send the ECG signals from one place to another place. The ECG signals are compressed at first to reduce the amplitude and frequency and then transferred. ECG signals are compressed by using many techniques. One of the most important technique is FFT.
FFT (Fast Fourier Transform) is a technique used to convert analog signal to digital signal.
In FFT, The total process takes five steps:-
1) Input signal
2) Compression (counter A)
3) Compression (counter B)
4) Recovery of the original signal by using IFFT
5) Error checking
Now the detailed explanation of the above steps is given below
 At first the input signal (ECG signal) is taken.
 There are two stages for compression. In first stage of compression there is a counter A. It identifies the non-zero values of the signal before compression. After compression if the length of the compressed signal is less than the length of the actual signal, then zero padding is done to make equal the lengths of compressed and actual signal.
 Now the signal is passed through the counter B. It identifies the non-zero values after the compression of the signal. Now after compression if the length of the compressed signal is greater than the length of the actual signal, then TRUNCATION of the signal is done.
 Now by applying IFFT (Inverse Fast Fourier Transform) the original ECG signal is recovered.
 The Error is checked at the last stage.

Compression ratio is given by
CR=(B-A)/B *100
CR-Compression ratio
A-compression in counter A
B-compression in counter B

Compression ratio is a major factor to determine how much compression the signal undergoes.
 The compressed signal contains only positive values.
Thus ECG signal is compressed by using FFT technique.

Applications:-
• It finds application in hospitals, when a patient’s report is to be send to another doctor in prenomial place.

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### Ecg compression using fft

1. 1. ECGCOMPRESSION USING FFT
2. 2. ECGThe ECG (electrocardiogram)is a diagnostic tool that is routinely used to assess the electrical and muscular functions of the heart.Sometimes it is required to send the ECG signals from one place to another place. The ECG signals are compressed at first to reduce the amplitude and frequency and then transferred.
3. 3. FFT• ECG signals are compressed by using many techniques. One of the most important technique is FFT.• FFT (Fast Fourier Transform) is a technique used to convert analog signal to digital signal.
4. 4. FFT
5. 5. Five Stages In FFT, The total process takes five steps:-1) Input signal2) Compression (counter A)3) Compression (counter B)4) Recovery of the original signal by using IFFT5) Error checking
6. 6. First stageThe input signal (ECG SIGNAL) IS TAKEN
7. 7. Compression stage (counter A) There are two stages for compression. In first stage of compression there is a counter A. It identifies the non-zero values of the signal before compression. After compression length of the compressed signal is compared with the length of the actual signal.
8. 8. ZERO PADDING• If the length of the compressed signal is less than the length of the actual signal, then zero padding is done to make equal the lengths of compressed and actual signal.