The high sensitivity of photoplethysmography (PPG) spectral signals provides conditions for extracting dynamic spectra carrying nonlinear information. By the idea of spatial conversion precision, this paper uses a spectral camera to collect highly sensitive spectral data of 24 wavelengths and proposes a method for extracting dynamic spectra of three different optical path lengths and their joint modeling. In the experiment, the models of the red blood cells and white blood cells established by the joint spectra achieved good results, with the correlation coefficients above 0.77. This study has great significance for achieving high-precision noninvasive quantitative analysis of human blood components.
Keyphrases
- optical coherence tomography
- density functional theory
- red blood cell
- dual energy
- high speed
- endothelial cells
- high resolution
- induced apoptosis
- convolutional neural network
- computed tomography
- cell cycle arrest
- magnetic resonance imaging
- machine learning
- magnetic resonance
- induced pluripotent stem cells
- molecular dynamics
- signaling pathway
- cell death
- data analysis
- fluorescent probe
- pi k akt
- pluripotent stem cells
- molecularly imprinted