Latest revision as of 12:52, 11 June 2018

In this page you can find links to our manuals and to a code repository. Many of these links are equivalent to those in our Manuals Area and Software Area section in the Neuroelectrics website.

Neuroelectrics' systems include Enobio (EEG, StarStim (EEG/tCS) and Starstim tCS (tCs) class devices as well as our universal software controller - Neuroelectrics Instrument Controller (NIC).

Matlab code

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment. A proprietary programming language developed by MathWorks, MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, C#, Java, Fortran and Python.

Although MATLAB is intended primarily for numerical computing, an optional toolbox uses the MuPAD symbolic engine, allowing access to symbolic computing abilities. An additional package, Simulink, adds graphical multi-domain simulation and model-based design for dynamic and embedded systems.

Data Analysis

For the Data Analyisis of Neuroelectrics data (EEG data) we provide some programming codes.

You can find here a zip file containing the following:

- NE_Viewer.m, a Matlab demo function to read and plot NE files
- some EEG data in .easy format (data format recorded with Neuroelectrics devices)
- a folder with the figures that NE_Viewer.m generates with this data

The data and code are provided as examples of how to use Matlab to read and plot data.

Please see the Data Processing with Matlab section for more information.

MatNIC device controller

MatNIC is a set of Matlab functions that allows the user to control NIC remotely and, in turn, the device that is connected to it (StarStim or Enobio class). MatNIC provides control of the main functions of NIC, such as streaming of EEG data and management of neurostimulation session. This gives the user full remote, programmatic control over NE devices such as Enobio or StarStim from a Matlab environment. These functions allow remotely starting and stopping the EEG streaming, loading a stimulation template, changing stimulation parameters while stimulation is ongoing, starting and stopping the stimulation protocol (when using a StarStim device).

The MatNIC zip file contains the following:

Free MatNIC to control remotely the NIC software:

- The MatNIC user manual (an explanation on how to use the Matlab functions to remotely control NIC and examples)
- MatNIC, a folder with all the Matlab functions to remotely control NIC

For more information, contact us.

Special MatNIC to perform online stimulation changes:

- The MatNIC user manual (an explanation on how to use the Matlab functions to remotely control NIC and examples)
- MatNIC, a folder with all the Matlab functions to remotely control NIC

For more information, contact us for a quotation.

See the MatNIC section

@@ Line 1: / Line 1: @@
-In this page you can find links to our manuals and to a code repository. Many of these links are equivalent to those in our [http://www.neuroelectrics.com/support/download '''Download Area''']  section in the Neuroelectrics website.
+In this page you can find links to our manuals and to a code repository. Many of these links are equivalent to those in our [http://www.neuroelectrics.com/documentation/ '''Manuals Area'''] and [http://www.neuroelectrics.com/downloads/'''Software Area'''] section in the Neuroelectrics website.
-Neuroelectrics' systems include [http://www.neuroelectrics.com/enobio '''Enobio'''] (EEG) and [http://www.neuroelectrics.com/starstim '''StarStim'''] (EEG/tCS) class devices as well as our universal software controller - [http://www.neuroelectrics.com/enobio/software '''Neuroelectrics Instrument Controller (NIC)''']. Manuals and other downloads are available for both.
+ [[File:Website_overview.PNG|800px]]
-= Neuroelectrics Download Area for Manuals and software  =
+Neuroelectrics' systems include [http://www.neuroelectrics.com/products/enobio/ '''Enobio'''] (EEG, [http://www.neuroelectrics.com/products/starstim/ '''StarStim'''] (EEG/tCS) and [https://www.neuroelectrics.com/products/starstim/starstim-tcs/ '''Starstim tCS'''] (tCs) class devices as well as our universal software controller - [http://www.neuroelectrics.com/products/software/ '''Neuroelectrics Instrument Controller (NIC)'''].
+               [[File:Enobio_starstim_stcs.png|600px]]
-Please visit [http://www.neuroelectrics.com/support/download '''Download Area''']   for an updated list of software updates (NIC, NIC Offline, API, etc), as well as user manuals.
 = Matlab code =
+MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment. A proprietary programming language developed by MathWorks, MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, C#, Java, Fortran and Python.
+Although MATLAB is intended primarily for numerical computing, an optional toolbox uses the MuPAD symbolic engine, allowing access to symbolic computing abilities. An additional package, Simulink, adds graphical multi-domain simulation and model-based design for dynamic and embedded systems.
 == Data Analysis ==
+For the Data Analyisis of Neuroelectrics data (EEG data) we provide some programming codes.
 You can find  [[media:NE_Viewer_plusSampleData.zip | '''here''' ]] a zip file containing the following:
-  - NE_Viewer.m, a Matlab demo function to read and plot NE files, together with
+  - NE_Viewer.m, a Matlab demo function to read and plot NE files
-  - some data in .''easy'' format and
+  - some EEG data in .''easy'' format (data format recorded with Neuroelectrics devices)
-  - a folder with the figures NE_Viewer.m generates with this data.
+  - a folder with the figures that NE_Viewer.m generates with this data
 The data and code are provided as examples of how to use Matlab to read and plot data.
-The call used to generate the plots in the folder is
+Please see the [[Data_Processing_with_Matlab| '''Data Processing with Matlab''' ]] section for more information.
- >> NE_Viewer('20130925192801_PatientTMS.easy',999,500,{'Fp1','Fp2','F3','F4','C3','C4','P3','Cz'});
+== MatNIC device controller ==
+[http://www.neuroelectrics.com/products/software/matnic-remote-stimulation-client/ '''MatNIC'''] is a set of Matlab functions that allows the user to control [http://www.neuroelectrics.com/products/software/nic2/ '''NIC'''] remotely and, in turn, the device that is connected to it (StarStim or Enobio class). MatNIC provides control of the main functions of NIC, such as streaming of EEG data and management of neurostimulation session. This gives the user full remote, programmatic control over NE devices such as Enobio or StarStim from a Matlab environment. These functions allow remotely starting and stopping the EEG streaming, loading a stimulation template, changing stimulation parameters while stimulation is ongoing,  starting and stopping the stimulation protocol (when using a StarStim device).
-The 999 mean "do average referencing" and the 500 is the sampling rate in S/s. The rest are electrode labels (the data has been collected using a StarStim 8 channels system).
+The MatNIC zip file contains the following:
-Here is the header of NE_Viewer:
+*Free MatNIC to control remotely the NIC software:
-  function [NEdata NEdataRefFilPack]= ...
+  - The MatNIC user manual (an explanation on how to use the Matlab functions to remotely control NIC and examples)
-                      NE_Viewer(filepath, ref, fs, LabelsElectrodes,band,T)
+  - MatNIC, a folder with all the Matlab functions to remotely control NIC
- % NE_Viewer(filepath) reads Enobio/StarStim (3G, released 2012) data in
+For more information, [https://www.neuroelectrics.com/support/ '''contact us'''].
- % ASCII (.txt or ".easy") or EDF format, and plots parts of it together
- % with its PSD and spectrogram.
- %
- % This function is provided as is as an example on how to work with NE instrument
- % data.
- %
- % INPUTS:
- % Enobio/StarStim (8 or 20 or 32 Ch) data file path (mandatory) and other optional
- % entries: "ref" the optional reference channel (use 0 for none, 999 for
- % an all electrode average), "fs" the sampling rate in S/s,
- % "LabelsElectrodes" a structure containing channel names, and "band" a
-  % 2-element array with the low and high filtering frequency, e.g.,
- % band=[1 40], in Hz. Finally, "T" is an arracy specifiying initital and
- % final time to analyze (in seconds), e.g., T=[10 130].
- %
- % OUTPUTS:
- % Returns the original, raw data pack, NEdata, as a Matlab variable.
- % preserving the units (e.g., nV, ms). It also returnes NEdataRefFilPack,
- % the processed (referenced, detreneded, filtered) data (in uV). The time
- % stamp (in seconds from start of the take) is provided in the last column.
- %
- % SIDE EFFECTS: creation of "figures" directory if it does not exist,
- %               creation of data plot figures of all Enobio channels, etc.
- %
- %       out = NE_Viewer(filepath) plots the data in the filepath
- %       (filepath includes path relative to the Matlab current working
- %       directory of full absolute path), its PSD and spectrogram for each channel,
- %       etc., for 8 channels. As default it assumes a 500 Samples/s
- %       sampling rate, and does not reference the data to any other
- %       channel.  The code puts figures in a directory under the working
- %       directory.
- %
- %       NE_Viewer(filepath, ref) references the data to a chosen channel
- %       (ref should be a Channel number from 1 to 8 (or 20 for Enobio20),
- %       or zero to force no reference - the default). A reference = 999
- %       means the average of all electrodes is used as reference.
- %
- %       In addition, using the call NE_View(filepath, ref, fs) allows
- %       for changing the sampling rate fs in Samples/s.
- %
- %       Use a structure with LabelsElectrodes such as
- %         >> LabelsElectrodes={'Ch1','Ch2','Ch3','Ch4','Ch5','Ch6','Ch7','Ch8'}
- %       with
- %         >> NE_View(filepath, ref, fs, LabelsElectrodes)
- %       to add LabelsElectrodes to channel IDs in plots.
- %
- %
- % EXAMPLE: assuming the data is in a folder called "data",
- %          NE_Viewer('./data/EC.txt')   % uses all defaults
- %          NE_Viewer('./data/EC.txt',1)    % spedifies reference channel
- %          NE_Viewer('./data/EC.txt',1,500) % specifies Sampling rate
- %
- %          To specify channel LabelsElectrodes
- %          NE_Viewer('./data/EC.txt',1,500, ...
- %                    {'Fp1','Fp2','P3','P4','O1','O1','T7','Pz'} )
- %
- %          To specifiy a filter band other than the default:
- %          NE_Viewer('data/StarStim/20120728085042_TBtACS10Hz1mA.txt',0, ...
- %                                                         [],[],[1 60]);
- %
- %    As another example,
- %
- %       >> [NEdata NEdataRefFilPack]=NE_Viewer('data/Enobio8.txt');
- %   and then plot data vs. time
- %       >> figure; plot(NEdataRefFilPack(:,9), NEdataRefFilPack(:,1));
- %
- % ABOUT THE NE ASCII DATA FORMAT (July 2012):
- %       NE ASCII files contain one line per time sample. Each line contains
- %       first the EEG data (8 or 20 channels, depending on the device, with
- %       units in nV), followed by  three acceleration channels (aX,aY,aZ
- %       in mm/s^2- millimeters per second squared), an *optional* external
- %       input channel, a trigger flag (int32) and, finally,
- %       a timestamp in Unix time (ms from Jan 1 1970):
- %
- % Ch1(nV) ... Ch8or20(nV) aX(mg) aY(mg) aZ(mg) AddSensor Flags(uint32) TimeStamp (ms)
- %
- % Therefore Enobio8/StarStim will have a minimum of 8+2 (10) columns, or 8+3=11 if no
- %   accelerometer or >= 8+4 (with accelerometer). In summary:
- %
- %   Enobio8/20
- %        10 Columns: no AddSensor, no accelerometer data:
- %        11 Comumns: no accelerometer, but there is AddSensor
- %        13 Columns: there is accelerometer, but no Addsensor
- %        14 Comumns: there is accelerometer, AddSensor.
- %
- %   Enobio 20 will have >= 22 and >=24 columns if acc. data present:
- %        22 Columns: no AddSensor, no accelerometer
- %        23 Comumns: no accelerometer, but there is AddSensor
- %        25 Columns: there is accelerometer, no AddSensor
- %        26 Comumns: there is accelerometer, AddSensor.
- %
- %   Enobio 32 will have >=34 adn >=36 if acc data is present
- %        34 Columns: no AddSensor, no accelerometer
- %        35 Comumns: no accelerometer, but there is AddSensor
- %        37 Columns: there is accelerometer, no AddSensor
- %        38 Comumns: there is accelerometer, AddSensor.
- %
- %   Author(s): G.R. - Neuroelectrics Barcelona SL
- %   Copyright 2011-13 Neuroelectrics Barcelona SL
- %   $Revision: 0.1 $  $Date: 2011/11/26 $
- %   $Revision: 0.2 $  $Date: 2012/07/16 $
- %   $Revision: 0.3 $  $Date: 2012/11/15 $
- %   $Revision: 0.4 $  $Date: 2013/01/11 $
- %   $Revision: 1.0 $  $Date: 2013/01/15 $
- %   $Revision: 1.1 $  $Date: 2013/01/15 $
- %   References:
- %     [1] Enobio users guide. http://neuroelectrics.com
-== MatNIC device controller ==
-MatNIC is a set of Matlab functions that allow remotely controlling [http://www.neuroelectrics.com/enobio/software '''NIC''']. These functions allow remotely starting and stopping the EEG streaming, loading a stimulation template and starting and stopping the stimulation protocol (when using a StarStim device).
-The MatNIC zip file contains the following:
+*Special MatNIC to perform online stimulation changes:
-  - The MatNIC manual (also available in our [http://www.neuroelectrics.com/support/download  '''Downloads Area''']), an explanation on how to use the Matlab functions to remotely control NIC and
-  - RemoteStimulatioClient, a folder with all the Matlab functions for remotely controlling NIC, and an example on how to use them.
+  - The MatNIC user manual (an explanation on how to use the Matlab functions to remotely control NIC and examples)
+  - MatNIC, a folder with all the Matlab functions to remotely control NIC
+For more information, [https://www.neuroelectrics.com/get-a-quote/?add=84      '''contact us for a quotation'''].
-See the [[MatNIC_Matlab_Toolkit|'''MatNIC section''']] for more info.
+See the [[MatNIC_Matlab_Toolkit|'''MatNIC section''']]

Difference between revisions of "Manuals & Downloads / Repository"

Latest revision as of 12:52, 11 June 2018

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