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MWU-TS-SD-EWMA.cpp
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164 lines (132 loc) · 4.16 KB
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#include <iostream>
#include <vector>
#include <algorithm>
#include <cmath>
#include <numeric>
#include <fstream>
#include <sstream>
#define BETA 0.1
#define lamda 0.08
#define zeta 0.01
#define L 3
#define m 20
using namespace std;
struct CSVRow {
int column1;
int column2;
int column3;
};
CSVRow parseCSV(const string& line) {
CSVRow row;
stringstream ss(line);
char comma;
ss >> row.column1 >> comma >> row.column2 >> comma >> row.column3;
return row;
}
double calculateMannWhitneyU(const vector<double>& sample1, const vector<double>& sample2) {
// Combine the two samples
vector<double> combinedSample;
combinedSample.reserve(sample1.size() + sample2.size());
combinedSample.insert(combinedSample.end(), sample1.begin(), sample1.end());
combinedSample.insert(combinedSample.end(), sample2.begin(), sample2.end());
// Rank the combined sample
vector<double> ranks(combinedSample.size());
iota(ranks.begin(), ranks.end(), 1);
sort(ranks.begin(), ranks.end(), [&](int i, int j) {
return combinedSample[i - 1] < combinedSample[j - 1];
});
// Calculate U statistic for Mann-Whitney U test
double sumRankSample1 = accumulate(ranks.begin(), ranks.begin() + sample1.size(), 0.0);
double U = sumRankSample1 - (sample1.size() * (sample1.size() + 1) / 2.0);
return U;
}
int main() {
string filename = "data.csv";
ifstream file(filename);
if (!file.is_open()) {
cerr << "Error opening file: " << filename << endl;
return 1;
}
double time[200] = {0};
vector<double> heartbeat(200, 0.0); // Initialize with size and default value
double num[200] = {0};
string line;
int p = 0;
while (getline(file, line)) {
CSVRow row = parseCSV(line);
num[p] = row.column1;
time[p] = row.column2;
heartbeat[p] = row.column3;
p++;
}
file.close();
// Additional initialization and calculations
double z[200] = {0};
double error[200] = {0};
double var[200] = {0};
double ucl[200] = {0};
double lcl[200] = {0};
// Perform the required calculations and checks
// training phase for 50
double mean=0;
for(int i=0;i<5;i++)
{
mean=heartbeat[i]+mean;
}
mean=mean/5;
z[0]=mean;
for(int i=1;i<=5;i++)
{
z[i]=lamda*heartbeat[i]+(1-lamda)*z[i-1];
error[i]=heartbeat[i]-z[i-1];
}
double variance=0;
for(int i=1;i<5;i++)
{
variance=variance+(error[i]*error[i])/5;
}
var[5]=variance;
for (int i = 6; i < 200; i++) {
z[i]=lamda*heartbeat[i]+(1-lamda)*z[i-1];
error[i]=abs(heartbeat[i]-z[i-1]);
var[i]=abs(zeta*error[i]*error[i]+(1-zeta)*var[i-1]);
ucl[i]=z[i-1]+L*abs((abs(var[i-1])));
lcl[i]=z[i-1]-L*abs((abs(var[i-1])));
if (heartbeat[i] > lcl[i] && heartbeat[i] < ucl[i]) {
continue;
} else {
vector<double> f1;
vector<double> f2;
f1.reserve(m);
f2.reserve(m);
for(int j=i-(m-1);j<=i;j++)
{
f1.push_back(heartbeat[j]);
}
for(int j=i+1;j<=i+m;j++)
{
f2.push_back(heartbeat[j]);
}
sort(f1.begin(),f1.end());
sort(f2.begin(),f2.end());
double U_statistic = calculateMannWhitneyU(f1, f2);
// Set your significance level (alpha)
double alpha = 0.05;
// Calculate critical value for Mann-Whitney U test
double critical_value = sqrt((m * (m + 1) * (2 * m + 1)) / 6.0);
if (abs(U_statistic) <= critical_value) {
cout << "No significant difference detected at time: " << time[i] << endl;
} else {
cout << "Significant difference detected at time: " << time[i] << endl;
z[i]=z[i-1];
var[i]=var[i-1];
error[i]=error[i-1];
}
}
}
for(int i=0;i<200;i++)
{
cout<<time[i]<<" "<<heartbeat[i]<<" "<<error[i]<<" "<<var[i]<<" "<<z[i]<<" "<<ucl[i]<<" "<<lcl[i]<<" "<<endl;
}
return 0;
}