Positioning method and system based on electroencephalogram signals

The embodiment of the invention discloses a positioning method and system based on electroencephalogram signals, and the method comprises the steps: responding to the electroencephalogram signals obtained after nerve stimulation, and converting the electroencephalogram signals into a linear equation...

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Main Authors SUN YU, WANG SUJIE, FENG ZHAO
Format Patent
LanguageChinese
English
Published 28.06.2024
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Abstract The embodiment of the invention discloses a positioning method and system based on electroencephalogram signals, and the method comprises the steps: responding to the electroencephalogram signals obtained after nerve stimulation, and converting the electroencephalogram signals into a linear equation of a preset source imaging model; the linear equation of the source imaging model comprises a relation matrix of brain power supply activity mapped from the cerebral cortex to a scalp surface acquisition electrode, a time domain basis function of the electroencephalogram signal, and a weighting coefficient of the time domain basis function of each source dipole; representing a linear equation of the source imaging model as a probability distribution form, and applying a prior probability to the source imaging model in the probability distribution form according to a Bayesian method; performing posterior estimation on the source imaging model after the prior probability is applied, and iteratively updating a time-d
AbstractList The embodiment of the invention discloses a positioning method and system based on electroencephalogram signals, and the method comprises the steps: responding to the electroencephalogram signals obtained after nerve stimulation, and converting the electroencephalogram signals into a linear equation of a preset source imaging model; the linear equation of the source imaging model comprises a relation matrix of brain power supply activity mapped from the cerebral cortex to a scalp surface acquisition electrode, a time domain basis function of the electroencephalogram signal, and a weighting coefficient of the time domain basis function of each source dipole; representing a linear equation of the source imaging model as a probability distribution form, and applying a prior probability to the source imaging model in the probability distribution form according to a Bayesian method; performing posterior estimation on the source imaging model after the prior probability is applied, and iteratively updating a time-d
Author SUN YU
FENG ZHAO
WANG SUJIE
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Snippet The embodiment of the invention discloses a positioning method and system based on electroencephalogram signals, and the method comprises the steps: responding...
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SubjectTerms CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DIAGNOSIS
ELECTRIC DIGITAL DATA PROCESSING
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
Title Positioning method and system based on electroencephalogram signals
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