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High-precision non-invasive RBC and HGB detection system based on spectral analysis.

Yunyi Wang1, Gang Li1, Li Kong1

  • 1State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin, China.

Analytical and Bioanalytical Chemistry
|September 23, 2023
PubMed
Summary
This summary is machine-generated.

A new multi-wavelength system enhances non-invasive blood analysis. It improves detection of red blood cell (RBC) and hemoglobin (HGB) levels by capturing signals in the visible light spectrum, boosting accuracy for dynamic spectrum (DS) measurements.

Keywords:
DS theoryHGBNon-invasive blood component analysisRBCSpectral analysis

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Area of Science:

  • Biomedical Engineering
  • Spectroscopy
  • Medical Diagnostics

Background:

  • Non-invasive blood analysis using dynamic spectrum (DS) theory offers advantages in speed and simplicity.
  • Current multi-wavelength photoplethysmography (PPG) devices struggle to detect signals in the 400-620 nm range, limiting accuracy for certain blood components.
  • This limitation hinders precise detection of blood components with distinct absorption spectra in the visible light short band.

Purpose of the Study:

  • To design and validate a novel multi-wavelength spectral acquisition system for enhanced non-invasive blood component analysis.
  • To improve the signal-to-noise ratio (SNR) and expand spectral detection capabilities in the visible light short band.
  • To establish a predictive model for red blood cell (RBC) and hemoglobin (HGB) content using dynamic spectrum (DS) data.

Main Methods:

  • Development of a multi-wavelength spectral acquisition system measuring PPG signals at 405, 430, 450, 505, 520, and 570 nm.
  • Integration of the new system with a conventional halogen lamp spectrometer for combined data acquisition.
  • Collection of DS data from 272 subjects and development of predictive models for RBC and HGB levels.

Main Results:

  • The combined system achieved high SNR (>65 dB) PPG signals across the targeted wavelengths.
  • Predictive models for RBC and HGB showed improved performance compared to the halogen lamp spectrometer alone.
  • Correlation coefficient (Rp) for RBC and HGB increased by 0.0619 and 0.0489, respectively.
  • Root mean square error (RMSE) decreased by 0.08 1e12/L for RBC and 0.85 g/L for HGB.

Conclusions:

  • The designed multi-wavelength spectral acquisition system significantly enhances the accuracy of non-invasive blood component detection.
  • The system's ability to capture signals in the 400-620 nm range is crucial for improving RBC and HGB level predictions.
  • This technology holds promise for more precise and reliable non-invasive blood diagnostics.