Concentration optimization method for electroencephalogram data feedback based on TGAM chip
An EEG data and optimization method technology, applied in the field of brain-computer interface, can solve the problems of large fluctuations and low accuracy of concentration data, achieve the effect of stable and accurate concentration data, and enhance concentration data
Active Publication Date: 2020-09-08
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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[0008] The technical problem to be solved by the present invention is: to propose a concentration optimization method based on the EEG data feedback of the TGAM chip, to solve the problems of large fluctuations and low accuracy in the concentration data output by the traditional TGAM chip
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[0043] The purpose of the present invention is to propose a concentration optimization method for EEG data feedback based on a TGAM chip to solve the problems of large fluctuations and low accuracy in concentration data output by traditional TGAM chips. Its core idea is to improve the expressiveness of concentration data by separately optimizing two kinds of data packets (large and small packets). Among them, the optimization of large packets mainly includes the method of byte pause when extracting data, so as to ensure the accurate extraction of large packet data. In addition, we pass noise detection, cross-checking, checksum verification, concentration-relaxation The boundary detection of concentration-wave value and other means removes the wrong data, thereby extracting the effective concentration data; the small package optimization mainly analyzes the original data, analyzes the blink frequency, and feeds the blink frequency to the extraction of the large package Further ...
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The invention relates to the brain-computer interface technology, and discloses a concentration optimization method for electroencephalogram data feedback based on a TGAM chip. The invention solves the problems of large fluctuation and low accuracy of concentration degree data output by a traditional TGAM chip. The method comprises the following steps: A, receiving output data of a TGAM chip, judging the type of a data packet, if the data packet is small packet data, entering a step B, and if the data packet is large packet data, entering a step C; B, analyzing the packet data to obtain original data, detecting a blinking action of a user by utilizing fluctuation of the original data, and calculating a blinking frequency; C, extracting and screening the big packet data, and extracting effective concentration degree data; and D, optimizing the extracted effective concentration degree data by utilizing the blink frequency calculated in the step B, and outputting the data in a graded manner.
Description
technical field [0001] The present invention relates to a Brain-Computer Interface (Brain-Computer Interface, BCI) technology, in particular to a concentration optimization method for EEG data feedback based on a TGAM (Bluetooth EEG Module) chip. Background technique [0002] In recent years, a control system based on concepts related to human ideas, thinking and consciousness has developed rapidly. The difference between this system and the traditional computer control system is that it directly takes the human brain as the core and conducts data analysis on the basis of electroencephalogram (Electroencephalogram, EEG). This kind of way of controlling the corresponding system through the human brain is also called Brain-computer Interface (Brain-computer Interface, BCI). [0003] In 1875, Richard et al. discovered EEG for the first time when studying exposed rabbit brains. In 1924, Hans first published a paper on tracing scalp signals to EEG. Although EEG has been discov...
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Login to View More IPC IPC(8): G06F3/01G06K9/62
CPCG06F3/015G06F18/2433
Inventor 谢宁吴俣申恒涛
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA