Alex Leung
/
HealthTracker
Test version
algorithm.cpp
- Committer:
- a2824256
- Date:
- 2018-03-20
- Revision:
- 0:4be500de690c
File content as of revision 0:4be500de690c:
#include "algorithm.h" #include "mbed.h" void maxim_heart_rate_and_oxygen_saturation(uint32_t *pun_ir_buffer, int32_t n_ir_buffer_length, uint32_t *pun_red_buffer, int32_t *pn_spo2, int8_t *pch_spo2_valid, int32_t *pn_heart_rate, int8_t *pch_hr_valid) /** * \brief Calculate the heart rate and SpO2 level * \par Details * By detecting peaks of PPG cycle and corresponding AC/DC of red/infra-red signal, the ratio for the SPO2 is computed. * Since this algorithm is aiming for Arm M0/M3. formaula for SPO2 did not achieve the accuracy due to register overflow. * Thus, accurate SPO2 is precalculated and save longo uch_spo2_table[] per each ratio. * * \param[in] *pun_ir_buffer - IR sensor data buffer * \param[in] n_ir_buffer_length - IR sensor data buffer length * \param[in] *pun_red_buffer - Red sensor data buffer * \param[out] *pn_spo2 - Calculated SpO2 value * \param[out] *pch_spo2_valid - 1 if the calculated SpO2 value is valid * \param[out] *pn_heart_rate - Calculated heart rate value * \param[out] *pch_hr_valid - 1 if the calculated heart rate value is valid * * \retval None */ { uint32_t un_ir_mean ,un_only_once ; int32_t k ,n_i_ratio_count; int32_t i, s, m, n_exact_ir_valley_locs_count ,n_middle_idx; int32_t n_th1, n_npks,n_c_min; int32_t an_ir_valley_locs[15] ; int32_t an_exact_ir_valley_locs[15] ; int32_t an_dx_peak_locs[15] ; int32_t n_peak_interval_sum; int32_t n_y_ac, n_x_ac; int32_t n_spo2_calc; int32_t n_y_dc_max, n_x_dc_max; int32_t n_y_dc_max_idx, n_x_dc_max_idx; int32_t an_ratio[5],n_ratio_average; int32_t n_nume, n_denom ; // remove DC of ir signal un_ir_mean =0; for (k=0 ; k<n_ir_buffer_length ; k++ ) un_ir_mean += pun_ir_buffer[k] ; un_ir_mean =un_ir_mean/n_ir_buffer_length ; for (k=0 ; k<n_ir_buffer_length ; k++ ) an_x[k] = pun_ir_buffer[k] - un_ir_mean ; // 4 pt Moving Average for(k=0; k< BUFFER_SIZE-MA4_SIZE; k++){ n_denom= ( an_x[k]+an_x[k+1]+ an_x[k+2]+ an_x[k+3]); an_x[k]= n_denom/(int32_t)4; } // get difference of smoothed IR signal for( k=0; k<BUFFER_SIZE-MA4_SIZE-1; k++) an_dx[k]= (an_x[k+1]- an_x[k]); // 2-pt Moving Average to an_dx for(k=0; k< BUFFER_SIZE-MA4_SIZE-2; k++){ an_dx[k] = ( an_dx[k]+an_dx[k+1])/2 ; } // hamming window // flip wave form so that we can detect valley with peak detector for ( i=0 ; i<BUFFER_SIZE-HAMMING_SIZE-MA4_SIZE-2 ;i++){ s= 0; for( k=i; k<i+ HAMMING_SIZE ;k++){ s -= an_dx[k] *auw_hamm[k-i] ; } an_dx[i]= s/ (int32_t)1146; // divide by sum of auw_hamm } n_th1=0; // threshold calculation for ( k=0 ; k<BUFFER_SIZE-HAMMING_SIZE ;k++){ n_th1 += ((an_dx[k]>0)? an_dx[k] : ((int32_t)0-an_dx[k])) ; } n_th1= n_th1/ ( BUFFER_SIZE-HAMMING_SIZE); // peak location is acutally index for sharpest location of raw signal since we flipped the signal maxim_find_peaks( an_dx_peak_locs, &n_npks, an_dx, BUFFER_SIZE-HAMMING_SIZE, n_th1, 8, 5 );//peak_height, peak_distance, max_num_peaks n_peak_interval_sum =0; if (n_npks>=2){ for (k=1; k<n_npks; k++) n_peak_interval_sum += (an_dx_peak_locs[k]-an_dx_peak_locs[k -1]); n_peak_interval_sum=n_peak_interval_sum/(n_npks-1); *pn_heart_rate=(int32_t)(6000/n_peak_interval_sum);// beats per minutes *pch_hr_valid = 1; } else { *pn_heart_rate = -999; *pch_hr_valid = 0; } for ( k=0 ; k<n_npks ;k++) an_ir_valley_locs[k]=an_dx_peak_locs[k]+HAMMING_SIZE/2; // raw value : RED(=y) and IR(=X) // we need to assess DC and AC value of ir and red PPG. for (k=0 ; k<n_ir_buffer_length ; k++ ) { an_x[k] = pun_ir_buffer[k] ; an_y[k] = pun_red_buffer[k] ; } // find precise min near an_ir_valley_locs n_exact_ir_valley_locs_count =0; for(k=0 ; k<n_npks ;k++){ un_only_once =1; m=an_ir_valley_locs[k]; n_c_min= 16777216;//2^24; if (m+5 < BUFFER_SIZE-HAMMING_SIZE && m-5 >0){ for(i= m-5;i<m+5; i++) if (an_x[i]<n_c_min){ if (un_only_once >0){ un_only_once =0; } n_c_min= an_x[i] ; an_exact_ir_valley_locs[k]=i; } if (un_only_once ==0) n_exact_ir_valley_locs_count ++ ; } } if (n_exact_ir_valley_locs_count <2 ){ *pn_spo2 = -999 ; // do not use SPO2 since signal ratio is out of range *pch_spo2_valid = 0; return; } // 4 pt MA for(k=0; k< BUFFER_SIZE-MA4_SIZE; k++){ an_x[k]=( an_x[k]+an_x[k+1]+ an_x[k+2]+ an_x[k+3])/(int32_t)4; an_y[k]=( an_y[k]+an_y[k+1]+ an_y[k+2]+ an_y[k+3])/(int32_t)4; } //using an_exact_ir_valley_locs , find ir-red DC andir-red AC for SPO2 calibration ratio //finding AC/DC maximum of raw ir * red between two valley locations n_ratio_average =0; n_i_ratio_count =0; for(k=0; k< 5; k++) an_ratio[k]=0; for (k=0; k< n_exact_ir_valley_locs_count; k++){ if (an_exact_ir_valley_locs[k] > BUFFER_SIZE ){ *pn_spo2 = -999 ; // do not use SPO2 since valley loc is out of range *pch_spo2_valid = 0; return; } } // find max between two valley locations // and use ratio betwen AC compoent of Ir & Red and DC compoent of Ir & Red for SPO2 for (k=0; k< n_exact_ir_valley_locs_count-1; k++){ n_y_dc_max= -16777216 ; n_x_dc_max= - 16777216; if (an_exact_ir_valley_locs[k+1]-an_exact_ir_valley_locs[k] >10){ for (i=an_exact_ir_valley_locs[k]; i< an_exact_ir_valley_locs[k+1]; i++){ if (an_x[i]> n_x_dc_max) {n_x_dc_max =an_x[i];n_x_dc_max_idx =i; } if (an_y[i]> n_y_dc_max) {n_y_dc_max =an_y[i];n_y_dc_max_idx=i;} } n_y_ac= (an_y[an_exact_ir_valley_locs[k+1]] - an_y[an_exact_ir_valley_locs[k] ] )*(n_y_dc_max_idx -an_exact_ir_valley_locs[k]); //red n_y_ac= an_y[an_exact_ir_valley_locs[k]] + n_y_ac/ (an_exact_ir_valley_locs[k+1] - an_exact_ir_valley_locs[k]) ; n_y_ac= an_y[n_y_dc_max_idx] - n_y_ac; // subracting linear DC compoenents from raw n_x_ac= (an_x[an_exact_ir_valley_locs[k+1]] - an_x[an_exact_ir_valley_locs[k] ] )*(n_x_dc_max_idx -an_exact_ir_valley_locs[k]); // ir n_x_ac= an_x[an_exact_ir_valley_locs[k]] + n_x_ac/ (an_exact_ir_valley_locs[k+1] - an_exact_ir_valley_locs[k]); n_x_ac= an_x[n_y_dc_max_idx] - n_x_ac; // subracting linear DC compoenents from raw n_nume=( n_y_ac *n_x_dc_max)>>7 ; //prepare X100 to preserve floating value n_denom= ( n_x_ac *n_y_dc_max)>>7; if (n_denom>0 && n_i_ratio_count <5 && n_nume != 0) { an_ratio[n_i_ratio_count]= (n_nume*100)/n_denom ; //formular is ( n_y_ac *n_x_dc_max) / ( n_x_ac *n_y_dc_max) ; n_i_ratio_count++; } } } maxim_sort_ascend(an_ratio, n_i_ratio_count); n_middle_idx= n_i_ratio_count/2; if (n_middle_idx >1) n_ratio_average =( an_ratio[n_middle_idx-1] +an_ratio[n_middle_idx])/2; // use median else n_ratio_average = an_ratio[n_middle_idx ]; if( n_ratio_average>2 && n_ratio_average <184){ n_spo2_calc= uch_spo2_table[n_ratio_average] ; *pn_spo2 = n_spo2_calc ; *pch_spo2_valid = 1;// float_SPO2 = -45.060*n_ratio_average* n_ratio_average/10000 + 30.354 *n_ratio_average/100 + 94.845 ; // for comparison with table } else{ *pn_spo2 = -999 ; // do not use SPO2 since signal ratio is out of range *pch_spo2_valid = 0; } } void maxim_find_peaks(int32_t *pn_locs, int32_t *pn_npks, int32_t *pn_x, int32_t n_size, int32_t n_min_height, int32_t n_min_distance, int32_t n_max_num) /** * \brief Find peaks * \par Details * Find at most MAX_NUM peaks above MIN_HEIGHT separated by at least MIN_DISTANCE * * \retval None */ { maxim_peaks_above_min_height( pn_locs, pn_npks, pn_x, n_size, n_min_height ); maxim_remove_close_peaks( pn_locs, pn_npks, pn_x, n_min_distance ); *pn_npks = min( *pn_npks, n_max_num ); } void maxim_peaks_above_min_height(int32_t *pn_locs, int32_t *pn_npks, int32_t *pn_x, int32_t n_size, int32_t n_min_height) /** * \brief Find peaks above n_min_height * \par Details * Find all peaks above MIN_HEIGHT * * \retval None */ { int32_t i = 1, n_width; *pn_npks = 0; while (i < n_size-1){ if (pn_x[i] > n_min_height && pn_x[i] > pn_x[i-1]){ // find left edge of potential peaks n_width = 1; while (i+n_width < n_size && pn_x[i] == pn_x[i+n_width]) // find flat peaks n_width++; if (pn_x[i] > pn_x[i+n_width] && (*pn_npks) < 15 ){ // find right edge of peaks pn_locs[(*pn_npks)++] = i; // for flat peaks, peak location is left edge i += n_width+1; } else i += n_width; } else i++; } } void maxim_remove_close_peaks(int32_t *pn_locs, int32_t *pn_npks, int32_t *pn_x, int32_t n_min_distance) /** * \brief Remove peaks * \par Details * Remove peaks separated by less than MIN_DISTANCE * * \retval None */ { int32_t i, j, n_old_npks, n_dist; /* Order peaks from large to small */ maxim_sort_indices_descend( pn_x, pn_locs, *pn_npks ); for ( i = -1; i < *pn_npks; i++ ){ n_old_npks = *pn_npks; *pn_npks = i+1; for ( j = i+1; j < n_old_npks; j++ ){ n_dist = pn_locs[j] - ( i == -1 ? -1 : pn_locs[i] ); // lag-zero peak of autocorr is at index -1 if ( n_dist > n_min_distance || n_dist < -n_min_distance ) pn_locs[(*pn_npks)++] = pn_locs[j]; } } // Resort indices longo ascending order maxim_sort_ascend( pn_locs, *pn_npks ); } void maxim_sort_ascend(int32_t *pn_x,int32_t n_size) /** * \brief Sort array * \par Details * Sort array in ascending order (insertion sort algorithm) * * \retval None */ { int32_t i, j, n_temp; for (i = 1; i < n_size; i++) { n_temp = pn_x[i]; for (j = i; j > 0 && n_temp < pn_x[j-1]; j--) pn_x[j] = pn_x[j-1]; pn_x[j] = n_temp; } } void maxim_sort_indices_descend(int32_t *pn_x, int32_t *pn_indx, int32_t n_size) /** * \brief Sort indices * \par Details * Sort indices according to descending order (insertion sort algorithm) * * \retval None */ { int32_t i, j, n_temp; for (i = 1; i < n_size; i++) { n_temp = pn_indx[i]; for (j = i; j > 0 && pn_x[n_temp] > pn_x[pn_indx[j-1]]; j--) pn_indx[j] = pn_indx[j-1]; pn_indx[j] = n_temp; } }