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

Automatic knowledge memory traction method based on cerebral memory scales and induced capture

A technology of memory and calibration, applied in diagnostic recording/measurement, medical science, sensors, etc., can solve problems such as uncertainty, non-repeatability, and lack of real-time

Active Publication Date: 2017-09-22
BEIJING EASY MONITOR TECH DEV
View PDF2 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Such a method is full of uncertainty and non-repeatability, and even less real-time, so it cannot be applied to the memory process of daily learning.

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
  • Automatic knowledge memory traction method based on cerebral memory scales and induced capture
  • Automatic knowledge memory traction method based on cerebral memory scales and induced capture
  • Automatic knowledge memory traction method based on cerebral memory scales and induced capture

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0074] Working principle of the present invention see figure 1 , 2 shown.

[0075] An automatic knowledge and memory traction method based on brain memory scale and induction capture, including in various environmental states, sleep and disease treatment states, based on collecting brain waves, extracting the quantitative scale of the brain's focused memory, and traction induction and The method and equipment to capture the best learning state of the brain and realize the automatic memory of knowledge, use the brain wave as the original signal processing unit, discretely collect it into the computer, and apply various mathematical calculation algorithms such as wavelet, pattern recognition, and power spectrum. Brain waves are decomposed into components covering low frequency, intermediate frequency, high frequency, and ultrahigh frequency units at different scales, and feature components related to focused memory are extracted, and after normalization processing, they are exp...

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 discloses an automatic knowledge memory traction method based on cerebral memory scales and induced capture. The method adopts a wearable bioelectrical signal acquisition and transmission terminal and a computer or a server. The signal acquisition and transmission terminal acquires multi-lead brain wave signals in real time and transmits the signals to the computer, the brain wave signals are calculated through a calculating algorithm program in the computer, characteristic ingredients about brain memory processing in brain waves are extracted in real time, non-dimensional data expressed as 0-100 serves as the quantified scales of a memory state of the brain, the scales are converted into naturally sensory stimulating input signals of human, closed loop feedback induction and traction are performed, the fragment moment at which the maximum memory scale of the brain is reached is captured in real time, knowledge playing is triggered synchronously, two-way resonance of the memory state of the brain and knowledge appear is achieved, and the purpose of the automatic process of deep, long-term and efficient knowledge memory is achieved.

Description

technical field [0001] The invention belongs to the working method of electronic robots, and relates to a method and an intelligent device for automatically acquiring knowledge applied in the field of education and learning. Through neuroelectrophysiological brain wave analysis technology, when the memory processing state of the brain is captured, the knowledge is automatically played. Form the resonance of the knowledge input and the memory state of the brain to realize the purpose of automatic learning. Background technique [0002] Education and learning are the eternal topics of human beings and the driving force of human progress. In today's era, brain science is the leading scientific field that people focus on, and learning knowledge is one of the important functions of the brain. Since the birth of human beings, with the inheritance of culture and the progress of science, the development of society has created the prosperity of modern industry and modern science, bu...

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): A61B5/0476
CPCA61B5/7235A61B5/316A61B5/369
Inventor 吴一兵
Owner BEIJING EASY MONITOR TECH DEV
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