Difference between revisions of "AnyWave"

From WikiMEG
Jump to: navigation, search
 
(81 intermediate revisions by one user not shown)
Line 1: Line 1:
 
__NOTOC__
 
__NOTOC__
 +
=Introduction=
 
'''AnyWave''' : multi-platform software for visualizing and processing EEG/SEEG/MEG/XMG data.<br/>
 
'''AnyWave''' : multi-platform software for visualizing and processing EEG/SEEG/MEG/XMG data.<br/>
[[File:AnyWave.png|left|600px]]
+
[[Image:AnyWave.png|left|600px]]
  
 
'''AnyWave''' is a software designed to easily open and view data recorded by EEG or MEG acquisition systems.<br/>
 
'''AnyWave''' is a software designed to easily open and view data recorded by EEG or MEG acquisition systems.<br/>
Line 8: Line 9:
 
The development of AnyWave is supported by '''INSERM''' and '''Aix-Marseille University'''. <br />
 
The development of AnyWave is supported by '''INSERM''' and '''Aix-Marseille University'''. <br />
 
The main developper is Bruno Colombet (bruno.colombet@univ-amu.fr). <br />
 
The main developper is Bruno Colombet (bruno.colombet@univ-amu.fr). <br />
AnyWave was licensed with the help of SATT Sud-Est.<br />
+
AnyWave was licensed with the help of SATT Sud-Est.<br /><br/>
 
+
Cite us: Colombet B, Woodman M, Badier JM and Bénar CG. “AnyWave: a cross-platform and modular software for visualizing and processing electrophysiological signals.”<br />
{| class="wikitable"
+
''Journal of neuroscience methods 242 (2015): 118-26.''
 +
<br clear=all>
 +
<br/>
 +
{| style="text-align: center; margin: auto;"
 +
|+ Quick Navigation
 +
|-
 +
| [[File:AwDownload.png|400px|link=AnyWave:Download|'''DOWNLOAD''']] ||  [[File:AwChangeNotes.png|400px|link=AnyWave:ChangeNotes|'''Change notes''']]
 +
|-
 +
| [[File:AwFAQ.png|400px|link=AnyWave:Faq|'''FAQ''']] || [[File:AwTutorials.png|400px|link=AnyWave:Tutorials|'''Tutorials''']]
 +
|-
 +
| [[File:AwPlugins.png|400px|link=AnyWave:Plug-ins|'''Plugins''']] || [[File:AwWritePlugins.png|400px|link=AnyWave:DeveloperCorner|Code your own plugins]]
 
|-
 
|-
| [[Image:Facebook_icon.png|150px|link=https://www.facebook.com/AnyWaveSoftware]] || [[Image:HAL_logo.jpg|150px|link=https://hal.archives-ouvertes.fr/hal-01323171]]
+
| [[File:Menu_cli.png|400px|link=AnyWave:CommandLine|'''The Command Line Interface of AnyWave''']]
 
|}
 
|}
 
+
<br/>
[http://www.ncbi.nlm.nih.gov/pubmed/25614386 PUBMED Link to the article]<br />
+
{| style="text-align: center; margin: auto;"
[https://hal.archives-ouvertes.fr/hal-01323171 View the article on HAL]<br />
+
|+ Learn more and keep updated
 
+
|-
 
+
| [[Image:Facebook_icon.png|50px|link=https://www.facebook.com/AnyWaveSoftware]] ||  [[Image:HAL_logo.jpg|50px|link=https://hal.archives-ouvertes.fr/hal-01323171]] || [[Image:pubmed_logo.png|50px|link=http://www.ncbi.nlm.nih.gov/pubmed/25614386]] || [[Image:Gitlab.png|50px|link=https://gitlab-dynamap.timone.univ-amu.fr/anywave/AnyWave]]
=Cite AnyWave=
+
Colombet, Bruno, Mark Woodman, J. M. Badier and C. G. Bénar. “AnyWave: a cross-platform and modular software for visualizing and processing electrophysiological signals.”<br />
+
''Journal of neuroscience methods 242 (2015): 118-26.''
+
=Get AnyWave=
+
{| class="wikitable"
+
 
|-
 
|-
| [[Image:Windows_logo.png|225px|link=http://meg.univ-amu.fr/AnyWave/download.html]] || [[Image:OSX_logo.png|225px|link=http://meg.univ-amu.fr/AnyWave/download.html]] || [[Image:Linux_logo.png|225px|link=http://meg.univ-amu.fr/AnyWave/download.html]]
 
 
|}
 
|}
==Linux install==
 
===Build from sources===
 
You will find all the information to build your own AnyWave using the gitlab repository (See below).<br />
 
===Install the binary package===
 
Download the package (using the link in the previous section) and uncompress it in a folder.<br />
 
You will get a folder named AnyWave. Go in it and use the install.sh script to install.<br />
 
By default, the script will install AnyWave in /usr/local/AnyWave so it requires root privileges (use sudo ./install.sh)<br />
 
However, you can specify a local dir for installtion by using : ./install.sh [install_folder]
 
  
 
=General presentation of what AnyWave can do=
 
=General presentation of what AnyWave can do=
Line 53: Line 50:
  
 
<big>More tutorials available in the [[AnyWave:Tutorials|Tutorials]] section.</big>
 
<big>More tutorials available in the [[AnyWave:Tutorials|Tutorials]] section.</big>
 
=Keep me updated=
 
{| class="wikitable"
 
|-
 
| [[Image:Gitlab.png|150px|link=https://gitlab.thevirtualbrain.org/anywave/AnyWave]] || [[Image:Google_group.jpg|150px|link=http://groups.google.com/group/anywave]]
 
|}
 
 
=Plug-ins=
 
{|style="text-align: center;"
 
|-
 
| Time/Frequency|| H² || ICA || Epileptogenicity Index
 
|-
 
| [[File:TF.png|thumb|link=AnyWave:TimeFrequency]] || [[File:H2.png|thumb|link=AnyWave:H2]]|| [[File:ICA.png|thumb|link=AnyWave:ICA]] || [[File:EI GUI.PNG|thumb|link=AnyWave:Plugin EI]]
 
|-
 
| Graph Compare ||
 
|-
 
| [[File:GraphCompare.png|thumb|link=AnyWave:GraphCompare]] ||
 
|}
 

Latest revision as of 09:10, 7 February 2021

Introduction

AnyWave : multi-platform software for visualizing and processing EEG/SEEG/MEG/XMG data.

AnyWave.png

AnyWave is a software designed to easily open and view data recorded by EEG or MEG acquisition systems.
AnyWave is modular and can load additionnal plug-ins to enhance its features and capabilities.

The development of AnyWave is supported by INSERM and Aix-Marseille University.
The main developper is Bruno Colombet (bruno.colombet@univ-amu.fr).
AnyWave was licensed with the help of SATT Sud-Est.

Cite us: Colombet B, Woodman M, Badier JM and Bénar CG. “AnyWave: a cross-platform and modular software for visualizing and processing electrophysiological signals.”
Journal of neuroscience methods 242 (2015): 118-26.

Quick Navigation
DOWNLOAD Change notes
FAQ Tutorials
Plugins Code your own plugins
The Command Line Interface of AnyWave


Learn more and keep updated
Facebook icon.png HAL logo.jpg Pubmed logo.png Gitlab.png

General presentation of what AnyWave can do

Open a data file and visualize the channels it contains How to add markers
How to remove cardiac activity using ICA How to remove data around the TMS stimulations
How to compute H² on two conditions Compare two H² series

More tutorials available in the Tutorials section.