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

Apoplexy recovery degree index calculation method based on brain electrical signals

A technology of EEG signal and index calculation, which is applied in the field of rehabilitation biomedicine, can solve problems such as dysfunction, measure the degree of brain function recovery, and measure consistent requirements, so as to avoid the effect of curative effect evaluation

Inactive Publication Date: 2013-08-21
HANGZHOU DIANZI UNIV
View PDF2 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

On the one hand, the measurement of these indicators is carried out through the observation of patients by doctors or nurses. The measurement requirements of each person cannot be completely consistent, and there is a certain degree of subjectivity.
On the other hand, in some cases, damage to peripheral nerve pathways can also lead to abnormal performance of these functions. In fact, the corresponding areas of the patient's brain have not been damaged or have returned to normal. In these cases, the recovery of brain function cannot be accurately measured by traditional indicators. degree

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
  • Apoplexy recovery degree index calculation method based on brain electrical signals
  • Apoplexy recovery degree index calculation method based on brain electrical signals
  • Apoplexy recovery degree index calculation method based on brain electrical signals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The hardware of an embodiment of the present invention includes a stimulus presentation device, an EEG signal acquisition device, and an EEG signal processing device. Among them, the stimulation presentation equipment and the EEG signal processing equipment adopt ordinary monitors and computers, and the EEG signal acquisition equipment adopts the 16-channel electrode cap and EEG signal amplifier of g.tech company. The specific implementation process is as follows:

[0044] Step 1. Acquire multi-channel EEG signals

[0045] The subject sat on a comfortable chair, the acquisition process started, the subject relaxed his body as required, stared at the fixed green square in the center of the screen for 1 minute, then closed his eyes for 1 minute, and then performed the left-hand or right-hand motor imagery task according to the screen prompts. A left-hand motor imagery task was performed when a green square appeared on the left side of the screen, and a right-hand motor i...

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 apoplexy recovery degree index calculation method based on brain electrical signals. The method includes the following steps of firstly, enabling a preferred examinee to execute a left / right hand motor imagery task according to a prompt, utilizing multi-channel brain electrical signal collecting equipment to collect the brain electrical signals produced when the examinee executes the motor imagery task, then, utilizing a public average eliminating reference method to lower the level of public noise, utilizing an independent component analysis method to eliminate ocular artifacts, improving the signal to noise ratio of the brain electrical signals, utilizing a Butterworth filter to draw data of frequency ranges which are closely relevant to the motor imagery task for later analysis, finally, calculating a coefficient of polymerization and an overall efficiency property of a brain function network, calculating accuracy of the execution of the motor imagery task, utilizing the brain function network property and motor imagery task accuracy as recovery degree indexes, and storing calculation results in a special data base. The apoplexy recovery degree index calculation method based on the brain electrical signals has the advantages of being free of will interference and strong in objectivity. An objective assessing basis can be obtained through the method.

Description

technical field [0001] The invention belongs to the field of rehabilitation biomedicine, and relates to a method for calculating a stroke rehabilitation index based on electroencephalogram signals. Background technique [0002] Stroke is currently one of the major diseases that endanger human health. It has the characteristics of high mortality, high disability rate, high recurrence rate, many complications, and low cure rate. At present, there are many treatment methods such as drug therapy, acupuncture, massage and so on. In terms of stroke curative effect evaluation, the traditional evaluation method is based on various symptoms of stroke, which are determined by scoring item by item and accumulating ratings. symptoms, etc., [0003] The traditional curative effect evaluation method measures the severity or recovery of a patient by observing the patient's physical control ability, language function and other external manifestations. On the one hand, the measurement of ...

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): G06F19/00A61B5/0476
Inventor 张建海孔万增林伟成周展鹏周凌霄
Owner HANGZHOU DIANZI UNIV
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