The EPC/GDV SciLab program is designed for processing and analysis of EPC/GDV images recorded using the EPC/GDV Capture program. The EPC/GDV SciLab program provides quick and easy multi-parametric processing and statistical comparison of two samples of static or dynamic EPC/GDV images of any research subjects. The program can operate in two modes: a static mode for static EPC/GDV images processing and dynamic , for dynamic images. It also enables to perform analysis of a sector of the EPC/GDV image.

Price 620.00 Euro

Purpose EPC/GDV Scientific Laboratory

The EPC/GDV Scientific Laboratory program is designed for multi-parametrical processing of static or dynamic  EPC/GDV-images. The program provides the solution of the following:

1. Calculation of numerical characteristics of EPC/GDV-images both for the whole image and for separate sectors.
2. Formation up to 10 samples of EPC/GDV-images and their statistical comparison using the selected EPC/GDVparameters.
3. Calculation of statistical characteristics of each sample using the selected parameter.
4. Calculation of trends; entropy and fractal analysis of time series of dynamic EPC/GDV-image parameters.
5. Visual analysis and comparison of the initial EPC/GDV-images and arrays of calculated numerical data.
6. Saving the processed results to files and printing out the reports.
7. Creation of a detailed report in the MS Word format.

Main terms

Approximation coefficients – numerical characteristics calculated in the course of approximation (construction of trend or model) of time series. Three possible approximation algorithms are used in EPC/GDV SciLab: polynomials of the given level, power functions or exponential functions.

Asymmetry – the degree of nonsymmetricity of distribution about mean. Positive asymmetry indicates that the distribution deviates to positive values. Negative asymmetry indicates that the distribution deviates to negative values. Normal distribution is symmetric with respect to mean, i.e. its asymmetry is equal to 0.

Box&Whiskers – graphical form of data presentation, including a rectangle (a box) and whiskers. The proportions of the rectangle and the length of whiskers correspond to the displayed parameters (usually these are mean-square deviation, percentiles, minimum and maximum, etc.).

Characteristics of time series – numerical values calculated in the course of analysis of time series. The following characteristics are used in the EPC/GDV SciLab: approximation coefficient, entropy and fractal dimension.

Confidence interval for the mean – specify the area about the mean, which contains the “true” mean with the given level of confidence. Confidence intervals in EPC/GDV SciLab program are built for 5% confidence level, i.e. you can conclude that with 95% probability the sample mean lies within the limits of confidence intervals. The width of confidence interval depends on the sample size and dispersion or data scattering (standard deviation).

Dependent samples – samples of data received in the course of one experiment on one and the same subject or a group of subjects of research under different successive influences. At the same time it is assumed that the characteristics of subjects of research change as a result of applied influence. For example, the dependent ones are  EPC/GDV-image samples of the same liquid before and after some influence.

Distribution  - function showing how often one or another value is found in the data sample. In case of EPC/GDV-parameters, when there might be a lot of different values (the number of different values is close to the quantity of elements in the sample), all the range of values is divided into the given small quantity of equal intervals, after which the amount of points, falling into each interval, is calculated. There are normal (symmetric and bell-shape) and other types of distributions.


Dynamic EPC/GDV-image – video image of gas discharge, fixed during the whole period of exposure (influence) of electromagnetic field upon the object.

Entropy – degree of "informativeness" of time series. It is calculated on the basis of distribution of values of points inside the series. Entropy reaches its maximum if all the values are equiprobable.

Excess – characterizes relative pointedness or smoothness (bell shape) of distribution in comparison with normal distribution. Positive excess means relatively cusped distribution. Negative excess means relatively smoothed distribution.

Fractal dimension – degree of "complexity" of time series. Fractal dimension is calculated according to Higuchi algorithm. The values of fractal dimension differ from 1 to 2, where 1 means that the time series is close to a straight line and 2 shows that the values of the series are varying strongly, forming a compound curve in the graph. Fractal dimension can be calculated only with certain error which is estimated as the mean-square deviation of fractality.


EPC/GDV-image – gas discharge image, arising around the object when investigated by the EPC/GDV Camera.

Independent samples  - samples of data for different groups of subjects, obtained in the course of one or several parallel experiments.

Independent samples - samples of data for different groups of subjects, obtained in the course of one or several parallel experiments. For example, when you capture EPC/GDV-images of various liquids.

Mean – number equal to the sum of elements of sample, divided by the number of elements. The bigger is the sample size, the closer is the mean to the so-called “true mean”, which could be obtained if all the possible values of the given measurement or parameter were included in the sample.

Median – number, which divides the sample into two parts equal in the quantity of elements in such a way that one part contains values lower than the median, and the other part – higher ones.

Non-parametric or Distribution-free statistical tests – non-parametric methods used when the distribution of the investigated sample and its parameters are unknown (hence the term “non-parametric statistics”). They are also applied when the amounts of data are insufficient for the application of parametric methods (for example, based on the assumption of normalcy of distribution of the basic data). Non-parametric methodDd on the assessment of distribution parameters (such as, for instance, mean or standard deviation), describing the distribution of the sample. These methods are sometimes called parameter-free or distribution-free methods.

Normal distribution – symmetric and bell-shaped distribution, whose form is described by Laplace function. This function depends only on two parameters – mean value and standard deviation, which is very convenient for statistical comparison. In order to reliably determine the normalcy of sample, its size shall be quite high (several tens points or more).

Outburst –  a typical or rare values, which vary significantly from the distribution of other sample data. These data can show true characteristics of the studied event (variable), and can be connected with measurement errors and anomalous events and, therefore, shall not be included in the model.

Parametric statistical tests – criteria calculated on the basis of parameters of normally distributed samples (mean, standard deviations). They are used if it is known that the sample has normal distribution.

Percentile – such a number that the values of the given part of sample are smaller or equal to this number. For example, 25th percentile (also called quantile 0.25 or lower quartile) shows that 25% of values are smaller than this value. 75th percentile is calculated similarly (also called quantile 0.75 or higher quartile) – it shows that 75% of values are lower than this value.

Sample – an assembly of data, obtained in the course of monitoring (measurement) of the occurring process. Samples can be assessed by way of different statistical parameters, for instance, standard deviations, mean values, etc. Samples are compared by means of statistical tests.

Standard deviation or root-mean-square deviation (RMS) – a widely applied measurement of data scattering and variability.

Static EPC/GDV-image – single image of gas discharge fixed in some moment of exposure (influence) of electromagnetic field upon the subject.

Statistical characteristics (statistics) – characteristics of data sample, calculated from all elements of the sample and describing its main features. These characteristics include mean, standard deviation, median, and percentiles.

Statistical test – numerical characteristic calculated in the course of statistical comparison of samples. There are parametric and non-parametric criteria, as well as criteria of dependent and independent samples.

Time series – chain of measurements in successive points of time. The time series of EPC/GDV parameters is built on the basis of dynamic EPC/GDV-images. The analysis of time series includes formal description of trend or the model of time series, for example, based on functional approximation. As soon as the model is defined, you can interpret the data with the help of it. Moreover, you can calculate such characteristics as entropy and fractal dimensions of the time series.

Features of EPC/GDV Scientific Laboratory program

The program can work in either of the two modes:

• Processing and statistical comparison of as much as 10 samples of dynamic EPC/GDV-images.
• Processing and statistical comparison of as much as 10 samples of static EPC/GDV-images.

The following operations can be performed in the static mode of the EPC/GDV Scientific Laboratory program:

1. Loading of as much as 10 samples of static EPC/GDV-images.
2. Viewing and printing of EPC/GDV-image images in various palettes of pseudo-coloring,
3. Editing  the method of correction of the glow center, filtering noise background and carrying out the sector division,
4. Calculation of EPC/GDV-parameters for the whole EPC/GDV-image image or for its separate sectors,
5. Viewing and printing of parameters for each sample,
6. Statistical comparison of samples on the basis of data given by the user on the dependence of samples and type of distribution,
7. Viewing and printing of graphs in the form Box & Whiskers, showing statistical characteristics of parameters samples of loaded EPC/GDV-images,
8. Viewing and printing of a detailed column report on all the numerical data of the program,
9. Saving of all the program data in a file with the possibility of loading,
10. Saving of the column report in a text file for the export into other programs of data processing.
11. Making up a detailed Microsoft Word report covers all calculated numeric data, charts and text comments of the program.

The following operations can be performed in the dynamic mode of the EPC/GDV Scientific Laboratory program:

1. Loading of as much as 10 samples of dynamic EPC/GDV-images.
2. Playing of dynamic EPC/GDV-images,
3. Viewing and printing of frames of EPC/GDV-images in various palettes of pseudo-coloring,
4. Editing of the method of correction of the glow center, filtering of noise background and sector division,
5. Calculation of EPC/GDV-parameters for the whole EPC/GDV-image image or for its separate sector,
6. Viewing and printing of graphs of time series of EPC/GDV-parameters for each sample with the possibility to remove outbursts directly on the graph,
7. Viewing and printing the distribution of the EPC/GDV parameters in the specified frame for each sample.
8. Statistical comparison of samples on the basis of data on the dependence of samples and type of distribution given by the user.
9. Statistical comparison of samples of characteristics of initial time series: approximation coefficients, entropy and fractal dimension,
10. Viewing and printing of graphs showing statistical characteristics of samples of time series of parameters of loaded EPC/GDV-images,
11. Viewing and printing of graphs in the form Box & Whiskers, showing statistical characteristics of samples of approximation coefficients, entropy and fractal dimension of time series of EPC/GDV-parameters,
12. Viewing and printing of detailed column report on all the numerical data of the program,
13. Saving of all the program data in a file with the possibility of loading,
14. Saving of the column report in a text file for the export into other programs of data processing.
15. Making up a detailed Microsoft Word report covers all calculated numeric data, charts and text comments of the program.

System requirements

The program can be operated in the following Microsoft Windows operating systems:

• Windows 2000
• Windows XP

When processing video files obtained with the help of the latest modification of EPC/GDV Camera equipped with Philips digital video camera, it is advisable to install the video camera drivers. Video information comes from this camera in a packed form and, therefore, in order to extract the frames from AVI-file, the GDV Scientific Laboratory program requires a program decompressor, which is installed simultaneously with the installation of video camera drivers. The operating system Windows XP contains this decompressor, while all other Microsoft operating systems do not.

Recommended computer configuration:

• Processor - PIII-733 or higher
• Memory - 128 Mb or more
• HDD free space - 5 Gb or more?

EPC/GDV SOFTWARE: EPC/GDV CAPTURE,  EPC/GDV ENERGY FIELD,  EPC/GDV DIAGRAM,  EPC/GDV CHAKRA,  EPC/GDV SCILAB,  EPC/GDV SCREENING,  EPC/GDV VIEWER ,  EPC/GDV QUALIFICATION