fwd_eeg_sphere_model.cpp File Reference

Definition of the FwdEegSphereModel Class. More...

#include "utils/simplex_algorithm.h"
#include "fwd_eeg_sphere_model.h"
#include "fwd_eeg_sphere_model_set.h"
#include <QtAlgorithms>
#include <qmath.h>
#include <Eigen/Core>
#include <Eigen/Dense>

Include dependency graph for fwd_eeg_sphere_model.cpp:

Go to the source code of this file.

Classes
struct	FWDLIB::bergSchergPar

Macros
#define	MIN_1(a, b)   ((a) < (b) ? (a) : (b))
#define	X_1   0
#define	Y_1   1
#define	Z_1   2
#define	VEC_DOT_1(x, y)   ((x)[X_1]*(y)[X_1] + (x)[Y_1]*(y)[Y_1] + (x)[Z_1]*(y)[Z_1])
#define	VEC_LEN_1(x)   sqrt(VEC_DOT_1(x,x))
#define	VEC_DIFF_1(from, to, diff)
#define	VEC_COPY_1(to, from)
#define	CROSS_PRODUCT_1(x, y, xy)
#define	MALLOC_1(x, t)   (t *)malloc((x)*sizeof(t))
#define	REALLOC_1(x, y, t)   (t *)((x == NULL) ? malloc((y)*sizeof(t)) : realloc((x),(y)*sizeof(t)))
#define	FREE(x)   if ((char *)(x) != NULL) free((char *)(x))
#define	ALLOC_DCMATRIX_1(x, y)   mne_dmatrix_1((x),(y))
#define	FREE_DCMATRIX_1(m)   mne_free_dcmatrix_1((m))
#define	ALLOC_CMATRIX_1(x, y)   mne_cmatrix_1((x),(y))
#define	FREE_CMATRIX_1(m)   mne_free_cmatrix_1((m))
#define	TRUE   1
#define	FALSE   0
#define	FAIL   -1
#define	OK   0
#define	MAXTERMS   1000
#define	EPS   1e-10
#define	SIN_EPS   1e-3

Typedefs
typedef struct FWDLIB::bergSchergPar	FWDLIB::bergSchergParRec

Functions
float **	mne_cmatrix_1 (int nr, int nc)
double **	mne_dmatrix_1 (int nr, int nc)
void	mne_free_cmatrix_1 (float **m)
void	mne_free_dcmatrix_1 (double **m)
Eigen::MatrixXd	toDoubleEigenMatrix (double **mat, const int m, const int n)
void	fromDoubleEigenMatrix (const Eigen::MatrixXd &from_mat, double **to_mat, const int m, const int n)
void	fromDoubleEigenMatrix (const Eigen::MatrixXd &from_mat, double **to_mat)
void	fromDoubleEigenVector (const Eigen::VectorXd &from_vec, double *to_vec, const int n)
void	fromDoubleEigenVector (const Eigen::VectorXd &from_vec, double *to_vec)

Detailed Description

Definition of the FwdEegSphereModel Class.

Author

Lorenz Esch lesch.nosp@m.@mgh.nosp@m..harv.nosp@m.ard..nosp@m.edu; Matti Hamalainen msh@n.nosp@m.mr.m.nosp@m.gh.ha.nosp@m.rvar.nosp@m.d.edu; Christoph Dinh chdin.nosp@m.h@nm.nosp@m.r.mgh.nosp@m..har.nosp@m.vard..nosp@m.edu

Since

0.1.0

Date

December, 2016

LICENSE

Copyright (C) 2016, Lorenz Esch, Matti Hamalainen, Christoph Dinh. All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

• Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
• Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
• Neither the name of MNE-CPP authors nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Definition in file fwd_eeg_sphere_model.cpp.

Macro Definition Documentation

CROSS_PRODUCT_1

#define CROSS_PRODUCT_1	(		x,
			y,
			xy
	)

Value:

    {\
    (xy)[X_1] =   (x)[Y_1]*(y)[Z_1]-(y)[Y_1]*(x)[Z_1];\
    (xy)[Y_1] = -((x)[X_1]*(y)[Z_1]-(y)[X_1]*(x)[Z_1]);\
    (xy)[Z_1] =   (x)[X_1]*(y)[Y_1]-(y)[X_1]*(x)[Y_1];\
    }

Definition at line 87 of file fwd_eeg_sphere_model.cpp.

VEC_COPY_1

#define VEC_COPY_1	(		to,
			from
	)

Value:

    {\
    (to)[X_1] = (from)[X_1];\
    (to)[Y_1] = (from)[Y_1];\
    (to)[Z_1] = (from)[Z_1];\
    }

Definition at line 81 of file fwd_eeg_sphere_model.cpp.

VEC_DIFF_1

#define VEC_DIFF_1	(		from,
			to,
			diff
	)

Value:

    {\
    (diff)[X_1] = (to)[X_1] - (from)[X_1];\
    (diff)[Y_1] = (to)[Y_1] - (from)[Y_1];\
    (diff)[Z_1] = (to)[Z_1] - (from)[Z_1];\
    }

Definition at line 75 of file fwd_eeg_sphere_model.cpp.