Driving fatigue electroencephalogram monitoring method based on electrooculogram and electroencephalogram comprehensive determination

Driving fatigue electroencephalogram monitoring method based on electrooculogram and electroencephalogram comprehensive determination

  • CN 105,595,996 A
  • Filed: 03/10/2016
  • Published: 05/25/2016
  • Est. Priority Date: 03/10/2016
  • Status: Active Application
First Claim
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1. a fatigue driving eeg monitoring method for eye electricity and brain electricity synthetic determination, is characterized in that:

  • the method comprises followingStep;

    Step 1, equipment connection and parameter initialization;

    EEG signals acquisition device (1) and EEG signals monitoring terminal (2) are connectedConnect, and by the main control chip (2-1) of EEG signals monitoring terminal (2), tired step parameter s _ c is set;

    Now, tiredThe numerical value of labor step parameter s _ c is 0;

    Described EEG signals acquisition device (1) is MindwaveMobile brain cube earphone or TGAM module;

    Described EEG signalsMonitoring device (2) comprises main control chip (2-1) and the clock circuit (2-6) being connected with main control chip (2-1) respectively and reports to the policeTip element (2-2);

    Step 2, eeg signal collection;

    adopt EEG signals acquisition device (1) and according to predefined sample frequency to drivingThe eeg signal of the person of sailing gathers and pretreatment, and pretreated eeg signal synchronous driving to EEG signals are supervisedSurvey terminal (2);

    In described eeg signal, comprise original eeg signal, and the sample frequency of described original eeg signal is 512Hz;

    Step 3, eeg signal analyzing and processing;

    the main control chip (2-1) of described EEG signals monitoring terminal (2) calls eye electricityDetermination module and brain electricity determination module gather EEG signals acquisition device (1) simultaneously and pretreated eeg signal dividesDo not carry out analyzing and processing;

    Wherein, described main control chip (2-1) calls the electric determination module of described eye while carrying out analyzing and processing, and process is as follows;

    Step 3011, number of winks judgment threshold are determined;

    according to sampling time sequencing, EEG signals acquisition device (1) is connectedContinuous P second, the interior also pretreated eeg signal that gathers carried out respectively analyzing and processing, and inferior to blinking according to analysis processing resultNumber judgment threshold n0Determine;

    Wherein, P=2 ×

    p, wherein p is positive integer and p >

    =20;

    In this step, the arbitrary second interior also pretreated eeg signal that gathers of EEG signals acquisition device (1) analyzedWhen processing, process is as follows;

    Step 30111, eeg signal stores synchronized;

    the EEG signals acquisition device that now receives is gathered in (1) one secondAnd pretreated eeg signal carries out stores synchronized, the eeg signal of storing is current pending eeg signal;

    Step 30112, original eeg signal extract and eeg signal energy calculates;

    from current treating described in step 30111Process in eeg signal and extract original eeg signal, and the energy e of current pending eeg signal is calculated;

    Described current pending eeg signal comprises 512 described original eeg signals, 512 described original brain wavesIn signal, the signal value of i described original eeg signal is denoted as Xi

    When the energy e of current pending eeg signal is calculated, according to formula(7) calculate;

    PublicIn formula (7), N=512;

    Judge step 30113, nictation;

    according to the energy e of the current pending eeg signal calculating in step 30112,Whether driver in this second is blinked and judged, and draw decision content bk nictation of this second;

    as e >

    E2Time, bk=1;

    Otherwise,Bk=0;

    Wherein, E=280~

    320;

    Step 30114, the decision content stores synchronized of blinking;

    decision content bk nictation drawing in step 30113 is carried out to stores synchronized,Complete the also analyzing and processing process of pretreated eeg signal of collection in EEG signals acquisition device (1) this second;

    Step 30115, next second in gather and pretreated eeg signal analyzing and processing;

    according to step 30111 to stepMethod described in 30114, carries out gathering also pretreated eeg signal in next second of EEG signals acquisition device (1)Analyzing and processing, and draw decision content bk nictation of this second;

    Step 30116, P-2 repeating step 30115, until complete EEG signals acquisition device (1) continuous P interior collection also in advance secondThe analyzing and processing process of eeg signal after treatment, and obtain decision content bk nictation of each second;

    Step 30117, decision content stack nictation;

    to decision content bk nictation of each second in the continuous P second obtaining in step 30116Superpose, and obtain decision content sum bkZ nictation;

    Step 30118, number of winks judgment threshold are determined;

    according to decision content sum bkz nictation obtaining in step 30117,And according to formulaCalculate number of winks judgment threshold n0

    Wherein, n is positive integer and n >

    =4;

    And, n ×

    Q=P, wherein Q is positive integer and Q=2~

    10;

    Eeg signal analyzing and processing before step 3012, fatigue driving judgement, process is as follows;

    Step 30121, judgment threshold are determined collection pretreated eeg signal analyzing and processing in rear next second;

    stepThe judgment threshold of number of winks described in 30118 n0Determine after, according to step 30111 to the method described in step 30114, to brainIn next second of signal of telecommunication acquisition device (1), gather and pretreated eeg signal carries out analyzing and processing, and draw this secondDecision content bk blinks;

    Step 30122, n-2 repeating step 30121, until the n of number of winks judgment threshold described in completing steps 301180DetermineRear EEG signals acquisition device (1) continuously n-1 gathers the also analyzing and processing process of pretreated eeg signal in second, and obtainsObtain decision content bk nictation of each second;

    Step 3013, fatigue driving judgement start rear eeg signal analyzing and processing;

    in step 3012, complete fatigue driving judgementAfter front eeg signal analyzing and processing, the electric determination module of described eye according to sampling time sequencing to EEG signals acquisition device(1) interior collection per second pretreated eeg signal carry out respectively analyzing and processing, and according to analysis processing result to nowWhether driver judges in fatigue driving state;

    In this step, the electric determination module of described eye is to arbitrary second interior collection and pretreated brain of EEG signals acquisition device (1)When electric wave signal carries out analyzing and processing, process is as follows;

    Step 30131, eeg signal analyzing and processing;

    according to step 30111 to the method described in step 30114, to brain electricitySignal acquisition device (1) now gathers and pretreated eeg signal carries out analyzing and processing, and draws and sentence nictation nowDefinite value bk;

    Step 30132, decision content stack nictation;

    by the decision content bk and in front Q-1 second each second nictation drawing in step 30131Nictation, decision content bk superposeed, and obtained decision content sum bkz nictation now;

    Described nictation decision content sum bkz be EEG signals acquisition device (1) continuously in Q second each second nictation decision content bk alwaysWith;

    Step 30133, fatigue driving judgement;

    according to decision content sum bkz nictation drawing in step 30133, and integrating stepDetermined number of winks judgment threshold n in 301180, whether driver is now judged in fatigue driving state;

    whenbkz>

    n0Time, illustrating that now driver is in fatigue driving state, described main control chip (2-1) is controlled alarm unit (2-2) carry out alarm;

    Otherwise, illustrate that now driver is in abnormal driving state;

    Step 30134, return to step 30131, to gathering and pretreated brain electricity in next second of EEG signals acquisition device (1)Ripple signal carries out analyzing and processing;

    Described main control chip (2-1) calls described brain electricity determination module EEG signals acquisition device (1) is gathered after also pretreatmentEeg signal while carrying out analyzing and processing, adopt in per second to EEG signals acquisition device (1) according to sampling time sequencingCollection pretreated eeg signal carry out respectively analyzing and processing, and according to analysis processing result, whether driver are now locatedJudge in fatigue driving state;

    And described brain electricity determination module to EEG signals acquisition device (1) interior collection per second alsoThe analysis and processing method of pretreated eeg signal is all identical;

    Described brain electricity determination module is to EEG signals acquisition device(1) in arbitrary second, gather when also pretreated eeg signal carries out analyzing and processing, process is as follows;

    Step 3021, eeg signal stores synchronized;

    the EEG signals acquisition device that now receives is gathered also in (1) one secondPretreated eeg signal carries out stores synchronized;

    Step 3022, meditation degree and focus are extracted;

    from now extracting meditation degree M and focus reason eeg signal of living inA;

    Step 3023, meditation degree correction value and time correcting parameter are determined;

    the current time T providing according to clock circuit (2-6),Meditation degree correction value Δ

    M and time correcting parameter Δ

    T are now determined respectively;

    Wherein, when meditation degree correction value Δ

    M is determined, when current time T is later than 6 and while being not later than at 12, Δ

    M=30~

    15;

    When current time T is later than 12 and while being not later than at 15, Δ

    M=15~

    0;

    When current time T is later than 15 and be not later than19 time, Δ

    M=0~

    15;

    When current time T is later than 0 and be not later than or current time T at 6 and be later than 19 and be not later than 0 pointTime, Δ

    M=0;

    When to the time, correcting parameter Δ

    T determines, when current time T is later than 6 and while being not later than at 12, Δ

    T=2~

    1.5;

    When current time T is later than 12 and while being not later than at 15, Δ

    T=1.5~

    1.0;

    When current time T is later than 15 and be not later than 19When point, Δ

    T=1.0~

    1.5;

    When current time T is later than 0 and be not later than or current time T at 6 and be later than 19 and be not later than 0When point, Δ

    T=1.0;

    Step 3024, the increase and decrease of tired step parameter are processed;

    according to the meditation degree M extracting in step 3022 and focus A, and knotClose determined meditation degree correction value Δ

    M and time correcting parameter Δ

    T in step 3023, to tired step parameter s _ c'"'"'s nowNumerical value increases and decreases processing, and obtains increase and decrease tired step parameter s _ c after treatment;

    whenTime, by tired platformThe numerical value of rank parameter s _ c adds 1;

    Otherwise, the numerical value of tired step parameter s _ c is judged;

    when the number of tired step parameter s _ cValue is 0 o'"'"'clock, and the numerical value of tired step parameter s _ c remains unchanged;

    In the time of numerical value >

    =1 of tired step parameter s _ c, by tired stepThe numerical value of parameter s _ c subtracts 1;

    Step 3025, fatigue driving judgement;

    according to the numerical value that increases and decreases tired step parameter s _ c after treatment in step 3024, rightNow whether driver judges in fatigue driving state;

    when in step 3024, increase and decrease tired step parameter s after treatment _When the numerical value >

    N of c, illustrate that now driver is in fatigue driving state, described main control chip (2-1) is controlled alarm unit(2-2) carry out alarm;

    Otherwise, illustrate that now driver is in abnormal driving state;

    Wherein, N is predefined fatigue driving judgment threshold, and N is positive integer and N=2~

    8;

    Step 3026, return to step 3021, to gathering and pretreated brain wave in next second of EEG signals acquisition device (1)Signal carries out analyzing and processing.

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