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--- tools [2022/11/26 08:45]
2a01:4f9:5a:17aa::2 alte Version wiederhergestellt (2022/11/23 09:02)
+++ tools [2024/04/19 03:50]
31.220.87.212 alte Version wiederhergestellt (2023/08/22 07:23)
@@ Zeile 5: / Zeile 5: @@
 For a long time in the Gaitlab Heidelberg the Matlab based tools "**GDMiner**" and "**Parametersuche**" are used. Last one is part of the Database "**HeiDataProVIT**". The Datmining functionality of the "**GaitlabHDApp**" is an alternative to these tools, with more flexibility and some advantages:
-  * It works for arbitrary filetypes, not only normalized data saved as HD-ASC.
+  * It works for arbitrary filetypes, not only normalized data saved as [[http://nimue-platform.de/doku.php?id=fileformats:hdascii|HD-ASC]].
-  * The input-file with the paths to the input data is saved as xml.
+  * The input-files with the paths to the input data are saved as XML.
-  * The legacy file type - ASCII tab-delimited format (e.g. created from the **Parametersuche** of **HeiDataProViT**) - can be imported. No problems caused by unvisible/nonprintable characters any more.
+  * The legacy file type - ASCII tab-delimited format (e.g. created from the **Parametersuche** of **HeiDataProViT**) - can be imported. **No problems caused by unvisible/nonprintable characters any more**.
 =====Advantages in comparison to GDMiner=====
-   * GDMiner can work only with Heidelberg-ASCII average files (gla) and it assumes, that all timeseries are time-normalized and have a prefix "Mean" or "Std". The dataminer tool of the Nimue-Platform can work with arbitrary file types: gla, glx, glm, c3d, d3d, ...
+   * **GDMiner** can work only with [[http://nimue-platform.de/doku.php?id=fileformats:hdascii|HD-ASC]] average files (gla) and it assumes, that all timeseries are time-normalized and have a prefix "Mean" or "Std". The dataminer tool of the Nimue-Platform can work with arbitrary file types: gla, glx, glm, c3d, d3d, ...
-   * It has its own robust xml-file type to define path lists, no problems with unvisible/nonprintable characters (import function for csv-file is available)
+   * It has its own robust [[http://nimue-platform.de/doku.php?id=generalfeatures:sessionsets|XML-file type to define path lists]]. **No problems with unvisible/nonprintable characters any more** (import function for csv-files are available)
-   * More flexibility in definition of phases: E.g. phases can start with "RTO" (This was needed for Evas project).
+   * More flexibility in definition of phases: E.g. phases can start with "RTO" (This was needed for "Evas" project).
@@ Zeile 19: / Zeile 19: @@
   * Multiple "Parametersuche" in one step.
   * Calculation of data for both sides in one step.
-  * The data processing settings can be saved as an xml-file for future use.
+  * The data processing settings can be saved as an [[http://nimue-platform.de/doku.php?id=generalfeatures:sessionsets|XML-file]] for future use.
-  * Possibility to select multiple gait phases for calculations
+  * Possibility to select multiple "gait phases" for calculations.
 ======Gait indizes======
 =====Gait profile score======
 =====Gait deviation index======
+======MoMo and Matlab Tools Integration======
+There are several tools, which support legacy MoMo and Matlab Tools, described in the Nimue platform documentation, [[http://nimue-platform.motion-science.org/doku.php?id=glue:momo|here]].
-======Working with Session Sets======
+The following tools are available:
-A Session Set defines a list of paths to data sessions and can include additional columns with allocated data. Processing, Plot-Sheet Datamining and other functionality can be executed on such lists. Details are explained in the
+==== Usage of Examination info files ====
+[[http://nimue-platform.motion-science.org/doku.php?id=glue:momo#examination_information|here]]
+==== Import of SheetGLA configuration files ====
+[[http://nimue-platform.motion-science.org/doku.php?id=glue:momo#import_sheetgla_configurations|here]]
+======Plot Sheet ======
+This component is currently not available in this application.
+==== Advantages in comparison to MoMo====
+  * Trials with holes can be plottet.
+  * Several pages of plot-sheets are presented as tabs instead of flying windows.
+  * xy-plots, phase-angles plots, ...
+  * More flexible visualisation of events (more than one event-Type), toggle-on/off event visualisation
+  * split and resample of subphase possible
+  * calculation of CV-values
+  * Visualisation of more than one variable in a plot
+  * Configuration of a sheet in a specic datafile
+====Specific advantages in comparision to VisualEMG====
+  * No performance limitation for more than 30 trials
+====Specific advantages in comparison to  ivit====
+  * Ivit expects existance of parameters typically saved in ".gla"-file, e.g.  patientid, although they are not used.
+  * Ivit works only with a specific set of file-extentions: gla, glx, gxa
+  * "-" are not allowed
-=====Import of csv-files======
-A csv-file as it can be exported via Excel or HeiDataProVIT can be imported in a Nimue-Platform Project. It is saved as an xml-file in the subfolder "Data Sets" in the project.

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