| 摘要 |
The present disclosure relates, according to some embodiments, to devices, systems, and methods for estimating a physiological parameter in the presence of noise. For example, the disclosure relates, in some embodiments, to devices, systems, and methods for assessing (e.g., estimating, measuring, calculating) oxygen saturation (SpO2). Methods of assessing SpO2 may include assessing a noise metric associated with motion artifact. In some embodiments, a percentage (e.g., an empirically determined percentage) of a noise metric may be simply added to the SpO2 estimate to produce a corrected SpO2 estimate. An oximetry algorithm may include, according to some embodiments, combining multiple internal SpO2 estimates and associated noise and/or signal quality metrics (e.g., using a radial basis neural network) to produce a modified (e.g., corrected) SpO2 estimate (e.g., rather than merely selecting the estimate from a finite number of candidates). A modified SpO2 estimate may include little or no movement-based error. |
| 主权项 |
1. A device for estimating oxygen saturation in the presence of noise, the device comprising:
a processor in communication with a neural network, wherein the processor is configured to receive oximetry data, process the oximetry data to produce at least one oxygen saturation estimate, communicate the at least one oxygen saturation estimate to the neural network, and receive a modified oxygen saturation estimate from the neural network comprising less noise bias than the at least one oxygen saturation estimate, wherein the neural network is configured to define the modified oxygen saturation estimate based at least in part on combining the at least one oxygen saturation estimate with corresponding signal quality metrics; and a display in communication with the processor, wherein the display is configured to display a representation of the modified oxygen saturation estimate. |
