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--- tools [2022/06/19 00:41]
2a01:4f9:6a:10a8::2 alte Version wiederhergestellt (2022/03/23 07:15)
+++ tools [2024/04/26 18:58] (aktuell)
47.128.44.128 alte Version wiederhergestellt (2023/10/09 07:22)
@@ Zeile 3: / Zeile 3: @@
 =====Features=====
-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:
+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 GaitlabHdTool
-  * It works for arbitrary filetypes, not only normalized data saved as [[http://nimue-platform.de/doku.php?id=fileformats:hdascii|HD-ASC]].
-  * 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**.
-=====Advantages in comparison to GDMiner=====
-   * **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 [[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).
-===== Advantages in comparison to Parametersuche =====
-  * Multiple "Parametersuche" in one step.
-  * Calculation of data for both sides in one step.
-  * 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.
 ======Gait indizes======
 =====Gait profile score======
 =====Gait deviation index======
+======Generic data mining======
+This datamining tool was orginally implemented for the application "Upperlimb" and is now available also for gait data.
+=====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.
+======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.

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