Research on non-invasive detection technology of hemoglobin concentration based on multi-wavelength near-infrared spectroscopy
Aim at the problem that traditional hemoglobin concentration detection requires blood sampling,the detection process is complicated and cannot continuously monitor the variation trend of human hemoglobin concentration,we proposed a non-invasive hemo-globin detection method based on multi-wavelength near-infrared spectroscopy.Firstly,a mathematical model for non-invasive hemo-globin detection was established based on the Beer-Lambert law,and an eight-wavelength near-infrared PPG signal acquisition system was designed based on this model.Then,the collected PPG signals were pre-processed to reduce noise and baseline drift,and the fea-ture information was extracted and selected according to the established non-invasive detection model.Finally,the hemoglobin predic-tion regression model was constructed based on the Stacking algorithm.249 clinical data were used to verify the performance,the root-mean-square error between the predicted value of the non-invasive detection model and the reference value was 1.17 g/dL,and the cor-relation coefficient was 0.75.The experimental results show that this method can achieve non-invasive detection of hemoglobin concentra-tion effectively.
Hemoglobin concentrationNon-invasive detectionPhotoplethysmography signal processingStacking regression
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