An efficient optimization method to improve the measuring accuracy of oxygen saturation by using triangular wave...

Area of Science:

• Biomedical Engineering
• Optical Sensing
• Physiological Monitoring

Background:

• Accurate measurement of blood oxygen saturation is crucial for human health assessment.
• Traditional methods for SpO2 measurement have limitations in accuracy and complexity.

Purpose of the Study:

• To develop an efficient optimization method for improving the accuracy of oxygen saturation measurement.
• To introduce a novel approach utilizing optical frequency division for SpO2 calculation.

Main Methods:

• Employed an optical frequency division triangular wave signal as the excitation signal.
• Obtained dynamic spectrum data to calculate oxygen saturation.
• Compared the proposed method with traditional techniques using Root Mean Square Error (RMSE).

Main Results:

• The proposed method achieved a significantly reduced measured RMSE of 0.0965, compared to 0.1705 for the traditional method.
• Demonstrated a substantial improvement in the accuracy of oxygen saturation measurement.
• Showcased potential for circuit simplification and reduced component demand.

Conclusions:

• The developed optical frequency division method offers a more accurate and efficient approach to SpO2 measurement.
• This technique holds promise for enhancing the signal-to-noise ratio in other physiological signal measurements.
• The findings have significant implications for the design of more accurate and cost-effective medical monitoring devices.