ECG baseline correction with adaptive bionic wavelet transform

We have presented a new method for ECG baseline correction using the adaptive bionic wavelet transform (BWT). In fact by the means of BWT, the resolution in the time-frequency domain can be adaptively adjusted not only by the signal frequency but also by the signal instantaneous amplitude and its first-order differential. Besides by optimizing the BWT parameters parallel to modifying our previous thresholding rule, one can handle ECG baseline correction. First an estimation of the baseline wandering frequency is obtained and then the adaptation can be used only in three successive scales in which the mid-scale has the closest center frequency to the estimated frequency. Thus the implementation is possibly time consuming. Preliminary tests of BWT application to various ECG signals were constructed on the signals of MIT-BIH database which showed high performance of baseline correction, specially the procedure has largely proved advantageous over wavelet-based methods for baseline wandering cancellation.