High-precision spectra captured by a spectral camera and suppression of their nonlinearity

Area of Science:

• Biomedical Optics
• Spectroscopy
• Noninvasive Sensing

Background:

• Photoplethysmography (PPG) spectral signals offer high sensitivity for extracting nonlinear dynamic spectral information.
• Accurate, noninvasive quantification of blood components remains a significant challenge in clinical diagnostics.

Purpose of the Study:

• To develop a method for extracting and modeling dynamic spectra from highly sensitive spectral data for blood component analysis.
• To leverage spatial conversion precision for enhanced spectral data acquisition and analysis.

Main Methods:

• Utilized a spectral camera to collect data across 24 wavelengths.
• Proposed a method for extracting dynamic spectra from three distinct optical path lengths.
• Developed a joint modeling approach for the extracted dynamic spectra.

Main Results:

• Successfully modeled red blood cells and white blood cells using the joint spectra.
• Achieved high correlation coefficients, exceeding 0.77, for the developed models.
• Demonstrated the potential for high-precision quantitative analysis of blood components.

Conclusions:

• The proposed spectral analysis method shows significant promise for accurate, noninvasive blood component quantification.
• Joint modeling of dynamic spectra from multiple optical path lengths enhances analytical precision.
• This technique holds great significance for advancing noninvasive diagnostic tools in healthcare.