arraynormalization.cpp

一个开源的心电图测量仪驱动和应用软件,可记录

// ArrayMormalization.cpp: implementation of the ArrayMormalization class.
//
//////////////////////////////////////////////////////////////////////

#include "stdafx.h"
#include "ECG_1.h"
#include "ArrayNormalization.h"

#ifdef _DEBUG
#undef THIS_FILE
static char THIS_FILE[]=__FILE__;
#define new DEBUG_NEW
#endif

//////////////////////////////////////////////////////////////////////
// Construction/Destruction
//////////////////////////////////////////////////////////////////////

ArrayNormalization::ArrayNormalization()
{

}

ArrayNormalization::~ArrayNormalization()
{

}

void ArrayNormalization::SetArrToNormalize(double *dest, unsigned short *source, int lenght)
{
	double mean=0;
	mean = CalcMean(source,lenght);
	CalcNormalArray(dest,source,lenght,mean);	
}

double ArrayNormalization::CalcMean(unsigned short *source,int lenght)
{
	//Calculate the mean on a specific lenght of
	//unsugned short array and return it
	int MEAN=0;
	for(int i=0;i<4000;i++)
	{
		MEAN = MEAN + *(source+i);
	}
	MEAN = MEAN/4000;
	CString str;
	str.Format("%d",MEAN);
//	MessageBox(NULL,str,"MEAN",MB_OK);
	return MEAN;
}

void ArrayNormalization::CalcNormalArray(double *dest, unsigned short *source, int lenght, double mean)
{
	//Make the signal to be like diferential +-
	//Store it in to a dest array
	for(int i=0;i<lenght;i++)
	{
	*(dest+i)= double(*(source+i));
	/*	if(*(source+i)>mean)
			*(dest+i) = double(*(source+i)) - mean;

		if(*(source+i)==mean)
			*(dest+i) = 0;
		
		if(*(source+i)<mean)
			*(dest+i) = mean - double(*(source+i));
*/	}

}