Intracranial pressure measuring device of BP neural network model based on genetic algorithm optimization and working method thereof

A BP neural network and genetic algorithm technology, applied in the field of intracranial pressure measurement devices, to achieve the effect of removing the noise of the instrument itself, maintaining true reliability, and low power consumption

Inactive Publication Date: 2021-01-29
SHANDONG UNIV
View PDF7 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But there is no example of combining the BP neural network model based on genet

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Intracranial pressure measuring device of BP neural network model based on genetic algorithm optimization and working method thereof
  • Intracranial pressure measuring device of BP neural network model based on genetic algorithm optimization and working method thereof
  • Intracranial pressure measuring device of BP neural network model based on genetic algorithm optimization and working method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] A kind of intracranial pressure measurement device based on the BP neural network model optimized by genetic algorithm, such as figure 1 and Figure 5 As shown, it includes LED light source 1, fiber optic coupler 2, fiber optic pressure sensor, spectrometer 5, system microprocessor, LCD display and power supply,

[0065] The output end of the LED light source 1 is connected to the first input end of the optical fiber coupler 2, the output end of the optical fiber coupler 2 is respectively connected to one end of the optical fiber sensor 3 and the optical switch 4, and the other end of the optical switch 4 is sequentially connected to the spectrometer 5. The system microprocessor is connected with the LCD display;

[0066] The optical signal sent by LED light source 1 is input into the optical fiber pressure sensor through the optical fiber coupler 2, and the reflected optical signal sent by the optical fiber pressure sensor is input into the optical fiber coupler 2, an...

Embodiment 2

[0072] The working method of the intracranial pressure measuring device based on the BP neural network model optimized by genetic algorithm that embodiment 1 provides, such as Figure 2-Figure 4 shown, including:

[0073] (1) collect spectral data by spectrometer 5, carry out normalization process to the collected spectral data, construct spectral data set, and spectral data set is divided into training set and test set;

[0074] In step (1), the process of normalization processing is: In the formula, I i is the i-th original light intensity value, I max is the maximum light intensity value, I min is the minimum light intensity value, is the i-th light intensity value after normalization. The value of i is 1-100, and 100 sets of spectral data are sampled to obtain a corresponding pressure value.

[0075] (2) Determine the BP neural network model, then initialize the BP neural network model to obtain the initial values ​​of weights and thresholds;

[0076] In step (2),...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an intracranial pressure measuring device of a BP neural network model based on genetic algorithm optimization and a working method thereof. In the measuring device, when intracranial pressure to be measured acts on an optical fiber pressure sensor, the cavity length of the optical fiber pressure sensor is changed, so that a reflected light signal is changed, and a spectrograph collects the reflected light signal; the obtained spectral digital signal is inputted into a system microprocessor, the spectral digital signal is preprocessed in the system microprocessor, andaccording to a BP neural network model optimized based on a genetic algorithm, analysis is performed to obtain an intracranial pressure value; and the system microprocessor outputs an intracranial pressure value and displays the intracranial pressure value on an LCD display screen. The system microprocessor of the measuring device processes measured signals through automatic compensation in a pre-trained machine learning model, so that the data reliability is high, errors are small, temperature interference is small, and therefore it is guaranteed that the precision is higher than that of a traditional cranial pressure monitor.

Description

technical field [0001] The invention relates to an intracranial pressure measuring device based on a BP neural network model optimized by a genetic algorithm and a working method thereof, belonging to the technical field of brain pressure measurement. Background technique [0002] Intracranial pressure monitoring is the pressure of the contents of the cranial cavity on the wall of the cranial cavity. It is necessary to place the probe of the intracranial pressure detection detector in the skull, place the probe on the forehead and occipital, and transmit the waveform of intracranial pressure to the workstation through the sensor. In order to fully understand the changes in intracranial pressure, by analyzing the changes in the patient's intracranial pressure, it can help to judge the patient's condition and the next treatment. Currently, the intracranial pressure monitor is commonly used. Sensing information, using optical fiber as the transmission information medium, conver...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): A61B5/03
CPCA61B5/0075A61B5/031A61B5/7264
Inventor 李康宋娜
Owner SHANDONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap