Surface Physiological Noise Removal Method and System

A physiological, superficial technology with applications in the medical field

Active Publication Date: 2020-05-15
DANYANG HUICHUANG MEDICAL EQUIP CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In summary, there is currently no effective solution to the problem of how to remove the influence of surface physiological interference from brain oxygen signals to extract purer brain tissue signals

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
  • Surface Physiological Noise Removal Method and System
  • Surface Physiological Noise Removal Method and System
  • Surface Physiological Noise Removal Method and System

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] see image 3 , Figure 4 and Figure 5 , the surface physiological noise removal method proposed in this embodiment specifically includes the following steps:

[0059] Step S101: Perform preprocessing on the relative change signal of oxyhemoglobin concentration collected from each channel. The preprocessing includes motion artifact correction and data smoothing processing on the relative change signal of oxyhemoglobin concentration. Each channel includes the main channel and Auxiliary channel. Because, in the process of detection, the sudden violent movement of the subject's head or other reasons will cause the probe to not be close to the scalp at all times, which will cause the probe to leak light, and pulse-like large-scale oscillations will appear in the collected signal. Since this oscillation has a great influence on subsequent processing, it needs to be removed. Usually, a sliding window averaging method is used to remove abnormal peaks in the signal. In add...

Embodiment 2

[0087] see Figure 6 , the present embodiment provides the surface physiological noise removal device comprising: a preprocessing module 1, a wavelet transform module 2, a filtering module 3, a high frequency denoising module 4 and a superposition module 5 connected in sequence, during work, the preprocessing module 1 uses To preprocess the relative change signal of oxyhemoglobin concentration collected from each channel, the preprocessing includes motion artifact correction and data smoothing processing on the relative change signal of oxyhemoglobin concentration, wherein each channel includes the main channel and the auxiliary channel , the wavelet transform module 2 is used to perform continuous wavelet transform on the relative change signal of oxyhemoglobin concentration using the Morley wavelet in the complex domain respectively, and extract the phase angle matrix of the transformed oxyhemoglobin concentration relative change signal, and the filter module 3 is used to Th...

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 application provides a method and system for removing physiological noise on a surface layer, relating to the field of medical technology. The method for removing physiological noise on the surface layer comprises the following steps: firstly, pre-processing collected relative change signals of oxyhemoglobin concentrations in all channels; then, respectively using Morlet wavelets in complex number fields to perform continuous wavelet transform on relative change signals of oxyhemoglobin concentrations and extracting changed a phase-angle matrix of relative change signals of oxyhemoglobin concentrations; next, expanding phase-angle matrixes, utilizing a high-pass filter and a low-pass filter to divide the phase-angle matrix into a high-frequency part and a low-frequency part and utilizing a self-adaptive filtering method to remove noise of the high-frequency part in a self-adaptive manner; and finally, overlapping the low-frequency part of a main channel and the de-noised high-frequency part to obtain the phase-angle matrix of the main channel with physiological noise of the surface layer de-noised. The method helps eliminate physiological interference of the surface layer from cerebral oxygensignals, thereby acquiring cleaner brain tissue signals.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a method and system for removing surface layer physiological noise. Background technique [0002] Studies have found that blood oxygen content in human tissue will change with changes in human metabolic activities, and changes in blood oxygen content will cause changes in tissue optical properties, and a specific band of near-infrared light is sensitive to this change, so , can use near-infrared light to irradiate human tissue and detect the outgoing light intensity. In the case of known incident light intensity and measurable outgoing light intensity, according to the Beer-Lambert law, the change of blood oxygen content in human tissue can be calculated as This is to realize the non-destructive real-time detection of oxygen content in human tissue, that is, the principle of near infrared spectroscopy (NIRS) technology. [0003] In view of the above process, functional near-inf...

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
Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/1455A61B5/00
CPCA61B5/14553A61B5/4064A61B5/7203A61B5/725A61B5/7253
Inventor 李增勇王碧天徐功铖霍聪聪
Owner DANYANG HUICHUANG MEDICAL EQUIP CO LTD
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