Scoring method based on improved signals analysis

一种神经信号、基线的技术，应用在神经信号分析对受试者的神经活动进行评分,受试者的神经信号领域，能够解决不能达到实时处理等问题

Inactive Publication Date: 2017-08-29
MENSIA TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As before, the architecture cannot achieve real-time processing

Method used

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  • Scoring method based on improved signals analysis
  • Scoring method based on improved signals analysis
  • Scoring method based on improved signals analysis

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0262] Example 1 - Validation of systems and methods for self-modulation of neural activity in subjects

[0263] The systems and methods for automodulation (ie, neurofeedback) presented in the detailed description have been validated on real data. The target mental state is relaxation, that is, the subject is in a state of no tension and no anxiety.

[0264] EEG data consisted of subject-specific sessions, where each session was divided into two parts: relaxation and focus. The purpose of this technique is to extract reference matrices on the training set (some EEG time windows chosen randomly during relaxation) and apply these references to the test data (EEG time windows not included in the training set). The method will be considered successful if the reference model accurately identifies periods of relaxation on unseen data (ie, the test set).

[0265] Materials and methods

[0266] Record

[0267] Electroencephalogram (EEG) data was collected using the Emotiv EPOC ...

example 2

[0305] Example 2 - Modulate it yourself

[0306] Specific recording modalities (ECoG, EEG, MEG, MRI NIRS or PET) allow data collection of neural signals in the subject population. This data is analyzed to fit a model defining the target activity (ie, reference state). In real time, the subject's specific activity can be compared with the target according to the method of the present invention, and the brain activity can modulate itself to achieve the desired target. For each application, the frequency and length of sessions will vary on a case-by-case basis.

[0307]

example 3-

[0308] Example 3 - External Modulation

[0309] Specific recording modalities (ECoG, EEG, MEG, MRI NIRS or PET) allow data collection of neural signals in the subject population. This data is analyzed to fit a model defining the target activity. In real time, the subject's specific activity can be compared with the target according to the method of the invention, and the brain activity can be externally modulated to achieve the desired target. For each application, the frequency and length of sessions will vary on a case-by-case basis.

[0310]

[0311]

[0312] We now present two applications using the described modeling technique. One application exemplifies use in a clinical setting, while the other focuses on solutions for the home.

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PUM

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Abstract

The present invention relates to a method for scoring in real time neural signals of a subject with respect to a reference state characterized by k=1...K reference covariance matrices, the method comprising the following steps: (i) obtaining neural signals from the subject; (ii) computing a covariance matrix of said neural signals; (iii) computing the Riemannian distances between the covariance matrix and k=1...K reference covariance matrices; (iv) computing a continuous score s in real time based on at least one of the distances computed in step (iii). The present invention also relates to a system and method for self-paced modulation or external modulation of neural activity of a subject.

Description

technical field [0001] The present invention relates to a scoring method, in particular to a scoring method for neural activity of a subject based on neural signal analysis in a Riemannian manifold. In particular the invention relates to a method of scoring in real time a neural signal of a subject relative to a reference state. The method can be used to modulate basal brain activity extrinsically or autonomously. Background technique [0002] Determining the location of a subject's neural activity relative to a reference or target state in real time remains a challenge and presents many advantages. Said position relative to the reference state, estimated in fractional form, can then be used for self-modulation or external modulation. One of the key elements is the ability to reliably and robustly analyze and report a subject's neural activity. In the present invention, neural signals have features named covariance matrices by descriptors. The covariance matrix constitut...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0482A61B5/00A61B5/375A61B5/374
CPCA61B5/7246A61B5/7264A61B5/375G16H50/20A61B5/7225A61B5/7235A61B5/316A61B5/245A61B5/374A61B5/0042A61B5/0075A61B5/165A61B5/4082A61B5/4088A61B6/037A61B6/5217
Inventor Q·巴塞勒米L·马约得
Owner MENSIA TECH
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