Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Sleep electroencephalogram signal amplitude analysis method based on gradient equal-state distribution

A technology of EEG signal and state distribution, applied in the field of sleep EEG signal amplitude analysis, can solve the problem of inability to distinguish the role of different differential elements, inability to distinguish different differential elements, etc.

Pending Publication Date: 2022-05-31
NANJING UNIV OF POSTS & TELECOMM
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a sleep EEG signal amplitude analysis method based on gradual change and other state distribution, and process the difference vector sequence of sleep EEG through a gradual change type conversion function, and then effectively solve the original equal state distribution step change type judgment The defect of the method solves the problem that the equal-state distribution based on the step-variable threshold in the prior art still has certain deficiencies in the quantification of amplitude fluctuations. It is impossible to distinguish different differential elements within the threshold, and it is impossible to distinguish different differential elements in the equal-state distribution. the role of the problem

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
  • Sleep electroencephalogram signal amplitude analysis method based on gradient equal-state distribution
  • Sleep electroencephalogram signal amplitude analysis method based on gradient equal-state distribution
  • Sleep electroencephalogram signal amplitude analysis method based on gradient equal-state distribution

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0064] A sleep EEG signal amplitude analysis method based on gradual and other state distributions, such as figure 1 , including the following steps,

[0065] S1. Given a sleep EEG signal X(t) of length L={x(1),x(2),…,x(t),…,x(L)}, calculate the sleep EEG signal X( The difference vector sequence X′(t)={x′(1),x′(2),…,x′(t),…,x′(L-m*τ)} of t) is used to represent the amplitude fluctuation, Where m is the length of the difference vector x'(t), and τ is the delay.

[0066] S11. Given a sleep EEG signal X(t) of length L={x(1),x(2),…,x(t),…,x(L)}, construct an EEG signal X(t ) vector state sequence X m (t)={x m (1),x m (2),...,x m (t),...,x m [L-(m-1)τ]}, where the vector is denoted as x m (t)={x(t),x(t+τ),...,x[t+(m-1)τ]}.

[0067] S12. Calculate the adjacent vector x m (t) and x m (t+τ) vector difference x'(t)=x m (t)-x m (t+τ), construct the difference vector sequence X′(t). Specifically,

[0068] The difference x′(t) between adjacent vectors is represented by the ...

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 provides a sleep electroencephalogram signal amplitude analysis method based on gradient equal-state distribution, which comprises the following steps of: calculating a difference vector sequence X '(t) of a sleep electroencephalogram signal X (t) through the sleep electroencephalogram signal X (t) with a given length L so as to represent amplitude fluctuation; calculating a conversion parameter a, a conversion parameter b and a threshold value r of sleep electroencephalogram gradual change and other state distribution; constructing an amplitude fluctuation conversion function f (t) of the sleep electroencephalogram; carrying out gradient equal-state conversion on the difference vector sequence X '(t), and carrying out statistics on difference equal-state distribution F; gradually-changed equal-state distribution gDES of the sleep electroencephalogram signals X (t) is obtained, so that extraction and analysis of amplitude fluctuation characteristics of the sleep electroencephalogram signals are achieved; according to the method, the difference vector is converted innovatively in a gradual change conversion mode, optimization analysis of the amplitude fluctuation of the sleep electroencephalogram signals is achieved, the problem that the equivalent state distribution contribution values of different difference elements cannot be distinguished through existing equivalent state distribution parameters is solved, and the amplitude fluctuation characteristics of sleep electroencephalogram activity can be more effectively represented.

Description

technical field [0001] The invention relates to a sleep electroencephalogram signal amplitude analysis method based on gradual change and other state distributions, and belongs to the technical field of electroencephalogram signal processing. Background technique [0002] Sleep is an important physiological activity of living beings, which is affected by various internal and external factors. As the sleep state changes, the brain electrical activity presents a corresponding change. Therefore, the analysis of EEG signals is of great significance to sleep monitoring and even the diagnosis and treatment of related diseases. In signal and information processing methods, the iso-state distribution can effectively extract the amplitude fluctuation characteristics of the signal. It has the characteristics of simplicity, speed, and low requirement for sequence length, and plays an important role in the analysis of EEG signals. However, the original iso-state distribution strictly ...

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 Applications(China)
IPC IPC(8): A61B5/369A61B5/372A61B5/00
CPCA61B5/369A61B5/4809A61B5/4812A61B5/4815A61B5/372Y02D30/70
Inventor 姚文坡郑洁莹王俊
Owner NANJING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com