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
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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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