Finger ECG De-noising Based on GA-wavelet Shrinkage

In view of the low signal to noise ration and the difficulty on de-noising for ECG signal collected under unconstrained environment, a GA(Generation Algorithm) based wavelet method of finger ECG de-noising is proposed after a systematic study of wavelet threshold de-noising and generation algorithm. This new algorithm can dynamically get the optimal solution to fit the threshold in accordance with the characteristic of finger ECG. Then the algorithm is verified by fitting ECG and finger ECG. Compared with other algorithm, results show that the proposed method get the better performance according to the performance index including the output SNR, correlation coefficient and root mean square. Keywords-finger ECG; generation algorithm; wavelet de-noising