emg2
Dependencies: HIDScope biquadFilter mbed QEI
Fork of EMG by
main.cpp
- Committer:
- keeswieriks
- Date:
- 2018-10-30
- Revision:
- 27:6b4814ef266d
- Parent:
- 26:1eafb6111ae8
- Child:
- 28:433d12c52913
File content as of revision 27:6b4814ef266d:
#include "mbed.h" #include "HIDScope.h" #include "BiQuad.h" HIDScope scope( 6 ); Ticker sample_timer; // Inputs EMG AnalogIn emg0_in( A0 ); AnalogIn emg1_in( A1 ); AnalogIn emg2_in( A2 ); // Constants EMG const double m1 = 0.5000; const double m2 = -0.8090; const double n0 = 0.5000; const double n1 = -0.8090; const double n2 = 0; const double a1 = 0.9565; const double a2 = -1.9131; const double b0 = 0.9565; const double b1 = -1.9112; const double b2 = 0.9150; const double c1 = 0.0675; const double c2 = 0.1349; const double d0 = 0.0675; const double d1 = -1.1430; const double d2 = 0.4128; // Variables EMG double emg0; double emg1; double emg2; double notch0; double notch1; double notch2; double high0; double high1; double high2; double absolute0; double absolute1; double absolute2; double low0; double low1; double low2; // BiQuad values BiQuadChain notch; BiQuad N1( m1, m2, n0, n1, n2); BiQuad N2( m1, m2, n0, n1, n2); BiQuad N3( m1, m2, n0, n1, n2); BiQuadChain highpass; BiQuad H1( a1, a2, b0, b1, b2); BiQuad H2( a1, a2, b0, b1, b2); BiQuad H3( a1, a2, b0, b1, b2); BiQuadChain lowpass; BiQuad L1( c1, c2, d0, d1, d2); BiQuad L2( c1, c2, d0, d1, d2); BiQuad L3( c1, c2, d0, d1, d2); // EMG const int sizeMovAg = 100; //Size of array over which the moving average (MovAg) is calculated double sum, sum1, sum2, sum3; //Variables used in calibration and MovAg to sum the elements in the array double StoreArray0[sizeMovAg] = {}, StoreArray1[sizeMovAg] = {}, StoreArray2[sizeMovAg] = {}; //Empty arrays to calculate MovAgs double Average0, Average1, Average2; //Outcome of MovAg const int sizeCali = 2000; //Size of array over which the Threshold will be calculated double StoreCali0[sizeCali] = {}, StoreCali1[sizeCali] = {}, StoreCali2[sizeCali] = {}; //Empty arrays to calculate means in calibration double Mean0, Mean1, Mean2; //Mean of maximum contraction, calculated in the calibration double Threshold0 = 1, Threshold1 = 1, Threshold2 = 1; //Thresholds for muscles 0 to 2 int g = 0; //Part of the switch void, where the current state can be changed int emg_calib=0; //After calibration this value will be 1, enabling the //EMG Ticker Filter_tick; Ticker MovAg_tick; // Filter of the first EMG signal void filtering() { emg0 = emg0_in.read(); // Reading the EMG signal emg1 = emg1_in.read(); emg2 = emg2_in.read(); notch0 = N1.step(emg0); // Applying a notch filter over the EMG data notch1 = N2.step(emg1); notch2 = N3.step(emg2); high0 = H1.step(notch0); // Applying a high pass filter high1 = H2.step(notch1); high2 = H3.step(notch2); absolute0 = fabs(high0); // Rectifying the signal absolute1 = fabs(high1); absolute2 = fabs(high2); low0 = L1.step(absolute0); // Applying low pass filter low1 = L2.step(absolute1); low2 = L3.step(absolute2); for (int i = sizeMovAg-1; i>=0; i--) { //For statement to make an array of the last datapoints of the filtered signal StoreArray0[i] = StoreArray0[i-1]; //Shifts the i'th element one place to the right StoreArray1[i] = StoreArray1[i-1]; StoreArray2[i] = StoreArray2[i-1]; } StoreArray0[0] = low0; //Stores the latest datapoint in the first element of the array StoreArray1[0] = low1; StoreArray2[0] = low2; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; for (int a = 0; a<=sizeMovAg-1; a++) { //For statement to sum the elements in the array sum1+=StoreArray0[a]; sum2+=StoreArray1[a]; sum3+=StoreArray2[a]; } Average0 = sum1/sizeMovAg; //Calculates an average over the datapoints in the array Average1 = sum2/sizeMovAg; Average2 = sum3/sizeMovAg; scope.set( 0, emg0); // Sending the signal to the HIDScope scope.set( 1, low0); // Change the numer of inputs on the top when necessary scope.set( 2, Average0); scope.set( 3, low1); scope.set( 4, emg2); scope.set( 5, low2); scope.send(); } int main() { sample_timer.attach( &filtering, 0.002); while(1) {} } void MovAg() //Void to make a moving average { }