Fast dynamic spectral data extraction method

Abstract

The invention discloses a fast dynamic spectral data extraction method, belonging to the technical field of the spectral analysis. A photoelectric volume pulse wave is obtained in preset time, preferably in 1-6 seconds, a frequency f is calculated by a photoelectric volume pulse wave, and a sampling frequency fs is set as 4M times of the frequency f, wherein M is an integer larger than 1; the all-wave photoelectric volume pulse wave is continuously collected in the preset time, preferably in 1-6 seconds by using the sampling frequency fs, an equivalent absorbency A of the photoelectric volume pulse wave under each wavelength is calculated by a fast digital phase-locking method, and one real-time dynamic spectrum is formed; the above steps are repeatedly performed and after more than five real-time dynamic spectrums are extracted; and the real-time dynamic spectrum containing thick error is eliminated by counting the average effect, and the residual dynamic spectrums are superposed and averaged to obtain a final dynamic spectrum to output. The method reduces the calculation complexity and calculation amount, and increases the signal-to-noise ratio of the final dynamic spectrum.

Description

technical field [0001] The invention relates to the technical field of spectrum analysis, in particular to a dynamic spectrum data extraction method capable of improving spectrum analysis precision and extraction efficiency. Background technique [0002] Compared with other spectral measurement methods, transmission spectroscopy based on photoplethysmography has significant advantages in non-invasive blood component detection: it can theoretically overcome the influence of individual differences and measurement conditions such as skin, fat, and bone. Dynamic spectroscopy is based on the transmission spectrum of photoplethysmography, extracting the absorbance spectrum of visible and near-infrared bands that only reflects pulsating blood, and has great potential for clinical application. However, the light absorption of pulsating blood is much smaller than that of other tissues. The detection of pulsating blood components still faces the influence of factors such as weak signa...

AI Technical Summary

Problems solved by technology

[0007] In order to solve the problems in the current dynamic spectrum frequency domain extraction method that it is difficult to overcome the influence of abnormal pulse waves, the calculation is redundant and the signal-to-noise ratio is low, and the single-edge extraction method has multiple corrections and calculations, the present invention provides a fast dynamic spectrum Data extraction method, described method comprises the following steps:

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