ConsoleApp_EEG

Console applications for calculating EEG coherence, correlation and focus parameters (c.f. Schrausser, 2000a, b).

ERC, ERCX

Calculates event related coherence $ERC$, where coherence

$$Coh_{xy}^2=\frac{P_{xy}^2(f)}{P_{xx}(f)⋅P_{yy}(f)},$$

with cross power $P_{xy}$ within given frequency $f$ in $\mathbb C$ defined by

$$P_{xy}(f)=\Re (a_{xy})^2+\Im (a_{xy})^2,$$

c.f. Schrausser (2000b).

Usage:

erc [input] [output] [nCoh] [nX] [refs] [refe] [acts] [acte] [typ]
 [input] .... Input File, Format ASCII tab. (e.g. coh.asc)
 [output] ... Output File
 [nCOH] ..... number of coherence values 
 [nX] ....... number of channel combinations
 [refs] ..... number of reference start value 
 [refe] ..... number of reference end value
 [acts] ..... number of active start value
 [acte] ..... number of active end value
 [typ] ...... type of output (0) individual (1) append

XCOR

Calculates cross correlation $xCOR$.

Usage:

xcor [input] [output] [n] [k]
 [input] ..... Input File, Format ASCII tab. (e.g. data.dat)
 [output] .... Output File
 [n] ......... number of cases
 [k] ......... number of variables

FOC

Calculates focus parameter $yf$, where

$$yf = \sum\limits_{i=1}^k{1-\frac{\frac{x_i-x_{min}}{d}}{k-1}},$$

with

$$d=x_{max}-x_{min}.$$

Usage:

foc [input] [output] [n] [k]
 [input] ..... Input File, Format ASCII tab. (e.g. data.dat)
 [output] .... Output File
 [n] ......... number of cases
 [k] ......... number of leads

DIS

Reading in distance values $d_{ij}$ for $x_i$, $x_j$ and calculates wights $g_{ij}$ defined by

$$g_{ij} = \frac{\frac{1}{d_{ij}}}{\sum\limits_{j=1}^n{\frac{1}{d_{ij}}}}.$$

Usage:

dis [input] [output] [n] [k]
 [input] ... Input File, Format ASCII tab. 
 [output] .. Output File
 [n] ....... number of cases
 [k] ....... number of leads

FLOC

Calculates spatial focus parameter $yloc$, where

$$yloc = \frac{\sum\limits_{i=1}^{k} {\sum\limits_{j=1}^{k-1}{\frac{1}{G_i}⋅\bigl[(1-\frac{x_i-x_{min}}{d})⋅w_{G_{ij}}\bigr]}}}{k-2},$$

with

$${G_i} = \sum\limits_{j=1}^{k-1}{g_{ij}},$$

$$w_{G_{ij}} = g_{ij}⋅\Bigl(1-\frac{x_j-x_{min}}{d}\Bigr).$$

Usage:

floc [input] [output] [n] [k] [distance]
 [input] ..... Input File, Format ASCII tab. (e.g. data.dat)
 [output] .... Output File
 [n] ......... number of cases
 [k] ......... number of leads
 [distance] .. Distance Matrix File

OUT

Generates output file.

Usage:

out [input] [n] [k] [start] [end] 
 [input] .... Input File, Format ASCII tab. (e.g. coh.asc)
 [n] ........ number of values / cases /rows
 [k] ........ number of variables / columns 
 [start] .... number of block start value 
 [end] ...... number of block end value

References

Schrausser, D. G. (2000a). Development of a Parameter to Indicate the Focussation-Level of Cortical Activation. https://doi.org/10.13140/RG.2.2.32114.17601

———. (2000b). Spectral and Coherence Analysis: Algorithms. http://doi.org/10.13140/RG.2.2.28637.90083