Human brain functional activity state classification method

• Main Authors: SHI YUHU, ZENG WEIMING, WANG NICHUAN, CHEN YANYANG, CHEN-DONG TAILANG
• Format: Patent
• Language: English
• Published: 19.08.2015
• Subjects: CALCULATING; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention discloses a human brain functional activity state classification method which comprises the following steps: S1, acquiring human brain functional activity state approximate description sets under all cognitive state control groups according to functional magnetic resonance training data sets under the different cognitive state control groups; S2, modeling the human brain functional activity state approximate description sets to acquire judgment time domain brain power modes corresponding to all the cognitive state control groups; S3, carrying out sparse representation on the human brain functional activity state approximate description sets to be identified according to the judgment time domain brain power modes to obtain expression energy values; and S4, classifying the human brain functional activity states to be identified into corresponding cognitive states according to the expression energy values. After the method is adopted, the corresponding cognitive states of the brain can be more accurately identified according to the brain functional activity states.