Novel electroencephalogram signal processing method based on low-rank and sparse matrix decomposition

• Main Authors: LIU YAN, KONG WANZENG, SONG XULIN, JIANG BEI, DAI GUOJUN
• Format: Patent
• Language: English
• Published: 27.01.2016
• Subjects: DIAGNOSIS; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; MEDICAL OR VETERINARY SCIENCE; SURGERY

The invention discloses a novel electroencephalogram signal processing method based on low-rank and sparse matrix decomposition. The method includes the following steps: step 1, executing a movement imagination task by a testee according to prompting, using multichannel electroencephalogram signal collection equipment to collect electroencephalogram signal data of the testee, and completing information input and electroencephalogram data collection of the testee; step 2, preprocessing the electroencephalogram data collected in the step 1, wherein the preprocessing process includes band pass filtering and common average reference removing; step 3, decomposing electroencephalogram data X obtained after preprocessing; step 4, calculating noise portion; step 5, calculating execution correctness rate of the movement imagination task. By the method, composing portions of electroencephalogram signals can be expressed effectively, and convenience is brought to feature extraction and analysis of different brain-machine system application occasions.