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Device and method for detecting brain waves

A brain wave, non-instantaneous technology, applied in the field of physiological signal analysis, can solve the problems of large amount and complexity of brain wave data, interference, and anatomical structure obstruction.

Inactive Publication Date: 2019-06-04
ADAPTIVE INTELLIGENT & DYNAMIC BRAIN CORP AIDBRAIN +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, the volume and complexity of EEG data is enormous because EEG signals are generated by several EEG circuits on the head and can be hampered or interfered by several anatomical structures in the head

Method used

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  • Device and method for detecting brain waves
  • Device and method for detecting brain waves
  • Device and method for detecting brain waves

Examples

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example 1

[0126] Example 1: Functional Electroencephalotopography (fEEToPG)

[0127] please see Figure 11 and Figure 12 , one or more embodiments of the present application provide several visual outputs of functional brain wave topography. In a system for generating functional brain wave surface topography, the detection module includes a detection unit array capable of simultaneously detecting brain electrical activities in different regions of the skull. The detection unit array can be a plurality of electrodes with a special arrangement, wherein each electrode can obtain a detected signal of a corresponding area.

[0128] The method for visualizing functional brain wave surface topography includes: using the detection module to detect the brain electrical activity; generating multiple analyzed data sets by multiple detection units, and each analyzed data set includes multiple analysis data units, and each analyzed data unit further includes a detection unit ID; within the bound...

example 2

[0132] Example 2: Functional Electroencephalotomography (fEEToMG)

[0133] please see Figure 13 to Figure 16 , one or more embodiments of the present application provide several visual outputs of functional brainwave tomograms. In a system for generating functional brain wave tomograms, the detection module includes a detection unit array capable of simultaneously detecting brain electrical activities in different regions of the skull. The detection unit array can be a plurality of electrodes with a special arrangement, wherein each electrode can obtain a detected signal of a corresponding area.

[0134]The method for visualizing a functional brain wave tomogram includes: using the detection module to detect the brain electrical activity; generating a plurality of analyzed data groups by a plurality of detection units, and each analyzed data group includes a plurality of analyzed data units, and each unit of analyzed data further includes a detection unit ID; within the bou...

example 3

[0140] Example 3: Clinical Application of Functional Electroencephalography (fEEG)

[0141] The clinical use of functional EEG will be illustrated by the following figures to identify specific visual output patterns in various neuropsychiatric states, such as: cognitive impairment, Alzheimer's disease , Huntington's disease, depression, migraine, anesthesia depth, insomnia, Parkinson's disease, Attention Deficit Hyperactivity Disorder; ADHD), anesthesia depth monitoring, and drug addiction. The specific visual output forms of the functional electroencephalogram are related to the diagnosis, prognosis, clinical assessment or disease stage of the above diseases. Comparisons between specific visual output modalities of different functional EEGs can also be used to discern differences between two groups of people with different mental states, or differences between two groups of people with the same disease but different stages of the disease , the difference between two groups ...

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Abstract

The present disclosure provides a system for analyzing brain electrical activities of at least one brain. The system comprises a visual output module for rendering a visual output space according to analyzed data sets generated by an analysis module, and displaying a visual output. The visual output comprises a first axis representing FM, a second axis representing AM, and a plurality of visual elements defined by the first axis and the second axis. Each of the visual elements comprises an accumulated signal strength and the analyzed data sets. Each of the analyzed data sets comprises a plurality of analyzed data units collected over a time period.

Description

technical field [0001] The present invention relates to the analysis of physiological signals. Furthermore, the present invention is related to the analysis of brain electrical activity. Background technique [0002] Brain function is dynamic and related to brain structure and electrical activity. Structural defects of the brain can be detected by a variety of traditional medical imaging techniques, such as computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET) and Single photon emission computed tomography (SPET). Regardless, these traditional medical imaging techniques fail to capture the dynamic nature of brain function. Furthermore, there are no discernible brain structural changes in many mental or psychological states, which may include: depression, insomnia, moderate cognitive impairment, Alzheimer's disease ( Early stages of Alzheimer's disease, ADHD, and different degrees of anesthesia. [0003] Electroencephalography (EE...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00A61B5/04A61B5/0476G06F17/14G06F16/00G06K9/00
CPCA61B5/742A61B5/021A61B5/7253G16H50/20A61B5/339A61B5/349G06F2218/10A61B5/02055A61B5/026A61B5/087A61B5/103A61B5/316A61B5/384A61B5/245A61B5/374A61B5/37
Inventor 诺顿·E·黄
Owner ADAPTIVE INTELLIGENT & DYNAMIC BRAIN CORP AIDBRAIN
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