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Electroencephalographic-signal-based fatigue state recognizing method

A technology of EEG signal and fatigue state, applied in the fields of biomedicine, signal processing and pattern recognition, it can solve the problems of limited application scope and impossible to collect ERP signals at the same time.

Inactive Publication Date: 2011-09-14
CHONGQING UNIV
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Problems solved by technology

ERP is a kind of evoked EEG, which needs to be generated by specific stimuli. Therefore, it is impossible to collect ERP signals at the same time in the conditions of car driving, high-risk operations, aerospace and other operations, which greatly limits this type of method. scope of application

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  • Electroencephalographic-signal-based fatigue state recognizing method
  • Electroencephalographic-signal-based fatigue state recognizing method
  • Electroencephalographic-signal-based fatigue state recognizing method

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specific Embodiment approach

[0053] figure 1 A block diagram representing a mental fatigue assessment system implementing the method of the present invention. This system can be used to evaluate the mental fatigue of the detected object and output the evaluation results.

[0054] Such as figure 1 As shown, the system includes six major parts such as EEG acquisition analog circuit, acquisition digital circuit, wireless transmitting and receiving circuit, microprocessor, USB interface chip and PC. The signal acquisition part detects the original EEG signal on the surface of the subject's scalp through the electrodes, and the EEG signal acquisition analog circuit filters out the interference signal and programmatically amplifies the weak electrical signal on the human brain and eliminates the level drift. The electrical signal is converted into a digital EEG signal through the digital circuit, and then sent out through the wireless transmitter. After the digital EEG signal is received by the wireless rec...

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Abstract

The invention discloses an electroencephalographic-signal-based fatigue state recognizing method. The method comprises the steps that: an electroencephalographic (EEG) data acquisition instrument records electroencephalographic signals in different fatigue states from the surface of a human scalp; a signal acquisition analog circuit filters out interference factors from the signals, performs program-controlled amplification on weak electrical signals and removes level drifts to obtain analog electroencephalographic signals; a digital circuit performs analog / digital (AD) conversion on the electroencephalographic signals to obtain digital electroencephalographic signals, and the digital electroencephalographic signals are transmitted to a host and processed; and the host preprocesses the signals first, then extracts feature information from each channel of signals to establish a feature vector, and finally evaluates the fatigue degree according to the obtained electroencephalographic feature by an evaluation method based on fuzzy pattern recognition. By combining a biomedical signal processing technology and a fuzzy pattern recognizing technology, the invention provides an objectiveand feasible mental fatigue evaluating method, so the application of the electroencephalographic-signal-based detection and recognition to the field of mental fatigue evaluation is technically improved greatly.

Description

technical field [0001] The invention belongs to the technical fields of biomedicine, signal processing and pattern recognition, and specifically relates to a fatigue state recognition method based on electroencephalogram signals, which realizes the assessment of human body fatigue state through the detection and recognition based on electroencephalogram signals. Background technique [0002] After working for a period of time, especially after a long period of mental or physical labor, people will have mental fatigue, which will cause changes in their physical and psychological states, including the increase in difficulty when they continue to work hard and the enhancement of the decline in information analysis ability, and the ability to organize behaviors. decline and mood changes. In modern society, especially in real-time monitoring, transportation, high-risk operations, aerospace and other operations, due to the decline of alertness, sustained attention, working memory,...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/66
Inventor 张莉王鹏王宇丁何传红
Owner CHONGQING UNIV
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