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The question of designing the best wavelet for a given signal is discussed from the perspective of orthogonal filter banks. Two performance criteria are proposed to measure the quality of a wavelet, based on the principle of maximization of variance. The method is illustrated and evaluated by means of a worked example from biomedicine in the area of cardiac signal processing. The experimental results...
This paper gives a new approach for the removal of slow baseline drift components of electrocardiographic (ECG) signals based on the discrete wavelet transform. The baseline drift is efficiently removed by zeroing the scaling coefficients of the discrete wavelet transform. Such approach can easily be combined with other wavelet based approaches for random noise reduction or power line interference...
The purpose of this paper is to study the method to assess function status of cardiovascular system effectively in order to guide prevention and protection. In this study an exercise testing was performed in two groups. 60 elder hypertensives were chosen as a group at relative worse healthy status, and 60 young healthy subjects were chosen as a group at relative good healthy status. By discrete wavelet...
The electrocardiogram (ECG) signal may mix various kinds of noises while gathering and recording. Wavelet thresholding de-noising method based on discrete wavelet transform (DWT) proposed by Donoho et al. is often used in de-noising of ECG signal. According to the defects of Donoho's method in de-noising of ECG signal, this paper proposes an improved thresholding de-noising method based on Donoho's...
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