The Application Of M+N Theory In The Noninvasive Blood Components Analysis Based On Dynamic Spectrum

The noninvasive blood components measurement based on spectral methods has been a hot topic in the field of biomedical engineering in recent years.Our group introduced the dynamic spectrum method to the application of noninvasive blood components measurement.In this paper,we further improve the precision of the noninvasive blood components measurement by studying in wavelength selection method as well as putting forward the modeling method based on optimized grouping according to perfusion index and multi-component analysis method based on the "M + N" theory.For the wavelength selection process of dynamic spectral data,the wavelength selection method based on multi-band spectral difference coefficient is proposed.The method is used to select best wavelengths of the measured object,restrain other factors during the measurement and improve the mearurement precision.In addition,this method effectively reduces the number of wavelengths required for blood components detection and is beneficial to the portable design of noninvasive blood components measurement system.Then,this paper discusses the influence of perfusion index on the precision of noninvasive blood components measurement,and proposes the modeling method based on optimized grouping according to perfusion index.This method can effectively restrain the influence of perfusion index and improve the prediction precision of calibration model.However,this method is influenced by the mean perfusion index and discrete degree of the group.Therefore,this paper discusses this impact and puts forward a formula to evaluate the precision of the model.Finally,this paper proposes the multi-component analysis method based on "M + N" theory for analyzing dynamic spectrum models.This method applies the "M + N" theory to the noninvasive blood component measurement.By taking into account "M" factors and "N" factors during the measurement process,the measurement precision of the blood components can be effectively improved.In addition,the prediction ability and robustness of the calibration model can also be improved.Furthermore,the multi-component analysis method based on "M + N" theory could be extended to other measurement environments,and the steps of using "M + N" theory are put forward.Combining these steps with four solutions proposed by the "M + N" theory,prediction ability and robustness of the calibration model can be improved effectively.