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Study on Nonlinear Baseline Transcendental Resolution Algorithm in PPG Signals

Baseline resolution is significant to the accuracy of PPG signal analysis. In view of such problems of apriority, difficulty in parameter tuning in existing PPG signal baseline calculation method, and the baseline randomization of PPG signals, a weighted matrix regression algorithm is proposed in this paper, which can analyze the ending frequency under different regularization parameters and combines the range of the baseline frequency in the PPG signal to determine the value of the regularization parameter, thus, the effect of the drift baseline in the PPG signal is effectively and quickly calculated, and the periodic signals required for PPG analysis are also retained. Experimental results show that the proposed method can accurately and simply calculate the drift baseline contained in the PPG signal, by separating the baseline from the PPG signal, we can see that the drift of the signal in the time domain and the drift baseline in the frequency domain power spectrum are obviously separated, which can be used for baseline calculation in PPG signal analysis.