Echinococcosis serum Raman spectrum diagnostic apparatus based on optimal back-propagation neural network

Abstract

The invention discloses an echinococcosis serum Raman spectrum diagnostic apparatus based on an optimal back-propagation neural network. A laser Raman spectrometer scans each sample twice and is usedfor acquiring serum samples of healthy people and echinococcosis patients, acquiring spectrum data corresponding to the samples, averaging the spectrum data to serve as Raman spectrum data of the samples and transmitting the data to a computer. The computer receives the Raman spectrum data, Raman fluorescent backgrounds in the Raman spectrum data are eliminated by an adaptive iteration penalized least-square method, and noise of the Raman spectrum data without the fluorescent backgrounds is removed by a self-normalization algorithm. The computer takes 3 front main components as new variable input space for constructing a sample matrix after dimension reduction of the Raman spectrum data without the fluorescent backgrounds and after noise removal by a partial least-square method, classification is performed by the back-propagation neural network, 74 samples are selected among 123 samples and used for a training set, and 49 samples are used for a testing set.

Description

technical field [0001] The invention relates to the field of spectral diagnostic instruments, in particular to an echinococcosis serum Raman spectral diagnostic instrument based on an optimized backpropagation neural network. Background technique [0002] Hydatid disease is a zoonotic parasitic disease with a global distribution, and Xinjiang is one of the high-incidence areas [1] . Studies have shown that without treatment, about 95% of people with hydatid disease will die within ten years [2] . Early diagnosis and intervention of echinococcosis is an effective way to reduce its morbidity and mortality. Routine examinations include clinical symptom diagnosis, imaging technology diagnosis and immunodiagnosis [3-5] , but requires professionals to operate, expensive equipment, cumbersome process [6] . Therefore, it is very important to develop a simple, fast and accurate spectroscopic diagnostic instrument for future echinococcosis patients. [0003] Raman spectroscopy ...

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Problems solved by technology

SERS needs to find roughened active substrate materials or nanoparticles of suitable particle size to enhance Raman signals. However, these materials are limited to some transition metals, and many materials are not suitable for living organisms. They depend on specific samples and are not universal. and costly to implement [19]

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