Tumor predictor based on dynamic spectra

Abstract

The invention discloses a tumor predictor based on dynamic spectra. The tumor predictor comprises a dynamic spectrum detecting module, a data processing module and a display module, wherein the dynamic spectrum detecting module is used for detecting blood composition data and transmitting the detected blood composition data to the data processing module, the data processing module is used for receiving the blood composition data transmitted by the dynamic spectrum detecting module, processing the data and transmitting processed data to the display module, and the display module is used for receiving the data processed by the data processing module and then displaying the data. A tumor prediction idea based on neutrophil to lymphocyte ratio (NLR) is adopted, tumor prevention can be achieved through non-invasive blood composition detection, tumor prediction and analysis are conducted according to the number of neutrophils (N), the number of lymphocytes (L) and the NLR, equipment is simple, using is convenient, and non-invasive tumor prevention and detection can be achieved.

Description

technical field [0001] The invention belongs to the field of medical devices, in particular to a dynamic spectrum-based tumor predictor. Background technique [0002] Non-invasive detection technology of blood components has been a research hotspot in the field of biomedical engineering in recent years, which can effectively reduce the cost of measurement procedures and consumables, and reduce the risk of blood sampling infection. Among them, near-infrared spectroscopy has been widely used due to its advantages of rapidity, non-invasiveness, and low cost. A larger value reduces the prediction accuracy of the method. [0003] Dynamic spectrometry is a new non-invasive detection method based on near-infrared spectroscopy, which is relatively mature at present. There are two different methods for obtaining dynamic spectra: time-domain spectroscopy and spatial-domain spectroscopy. The definition of the spectral data obtained by this measurement method is not exactly the same ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a tumor predictor based on dynamic spectrum, which aims to solve the problems of high detection conditions hidden in current tumor prediction methods such as tumor marker screening and gene detection, complex equipment, and multiple blood draws. The problem of too much damage to the body, low accuracy of prediction results, and excessive time-consuming and cost-consuming problems that cannot be continuously detected in real time

Images