Abstract: The present disclosure relates to signal processing and, more particularly, to determining the value of a physiological parameter, such as the blood oxygen saturation (SpO2) of a subject. In an embodiment, a first baseline for a first waveform and a second baseline for a second waveform are determined. In this embodiment, the first and second waveforms are indicative of the physiological parameter of the subject. The first and second waveforms are filtered to obtain a first direct-current (DC) component for the first waveform and a second DC component for the second waveform. A measured value for the physiological parameter is derived from the first and second baseline signals, and the first and second DC components. In an embodiment, the measured value for the physiological parameter is determined based on a ratio of the normalized difference between the DC component and the baseline signal for the first waveform with respect to same for the second waveform.

Abstract: According to embodiments, systems and methods are provided that use continuous wavelet transforms and basis functions to provide an optimized system for the determination of physiological information. In an embodiment, the basis functions may be used to refine an area of interest in the signal in frequency or in time, and the continuous wavelet transform may be used to identify a maxima ridge in the scalogram at scales with characteristic frequencies proximal to the frequency or frequencies of interest. In another embodiment, a wavelet transform may be used to identify regions of a signal with the morphology of interest while basis functions may be used to focus on these regions to determine or filter information of interest. In yet another embodiment, basis functions and continuous wavelet transforms may be used concurrently and their results combined to form optimized information or a confidence metric for determined physiological information.