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======Dataminer======
The datamining tool determines and extracts specific defined parameters (single values) from timeseries data, e.g. maximum, minimum or mean values of specific phases or at specific positions (events). Details are described in the [[http://nimue-platform.de/doku.php?id=analysistools:motiondataminer|Dataminer platform documentation]].

=====Features=====
For a long time in the Gaitlab Heidelberg the matlab based tools "GDMiner" and "Parametersuche" is used. Last one is part of the Database "HeiDataProVIT". The Datmining functionality of the "GaitlabHDApp" is an alternativ to these tools with more flexibility and some advantages:

  * Works for arbitrary filetypes, not only normalized data saved as HD-ASC. 
  * The file with the paths to the input data is 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 characters any more.


=====Advantages in comparison to GDMiner=====
   * GDMiner can work only with Heidelberg-ASCII average files (gla) and assumes that all timeseries are time-normalized and have a prefix "Mean" or "Std". The dataminer tool of the Nimue-Platform can work with aribtray files: gla, glx, glm, c3d, d3d, ... 
   * Its own robust xml-file with path lists, no problems with non printable characters (import function for old csv-file is available)
   * More flexibility in definition of phases. Phases can start with RTO. This was needed for Evas project.


===== Limintations of Parametersuche =====
  * 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.
  * Possibility to select multiple gait phases for calculations
======Gait indizes======
=====Gait profile score======
=====Gait deviation index======


======Working with Session Sets======
A Session Set defines a list of paths to data sessions and can include additional columns with allocated data. The data is organized as a table with rows and columns. 
=====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.

Gait- and Motionlab Heidelberg Tools

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