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3.3.1 Synchronized averaging

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1 3.3.1 Synchronized averaging

2 Problem Propose a time-domain technique to remove random noise given the possibility of acquiring multiple realizations of the signal or event of interest

3 Solution Linear filters fail to perform when the signal and noise spectra overlap. Synchronized signal averaging can separate a repetitive signal from noise without distorting the signal ECG signals may be filtered by detecting the QRS complexes and using their positions to align the waveforms for synchronized averaging

4 represents the kth observation of the original uncorrupted signal
represents the noise in the kth copy of the observed signal Synchronized average:

5 X is the template Y is the ECG signal and are the average of the corresponding signals

6 Figure 3.12

7 Figure 3.13

8

9 Figure 3.14

10 Measured ECG = ECG without interference + interference

11

12 For synchronized averaging of order M
The resultant signal has a mean close to x and a variance equal to (a standard deviation equal to

13

14 No spectral content of the signal is lost !
Advantage No spectral content of the signal is lost !


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