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tools [2024/04/25 19:00]
91.137.27.194 alte Version wiederhergestellt (2024/02/01 07:28)
tools [2024/05/05 16:59] (aktuell)
47.128.29.24 alte Version wiederhergestellt (2023/10/04 02:04)
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 =====Features===== =====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 GaitlabHdTool+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 [[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 xml-file type to define path lists, no problems with unvisible/nonprintable characters (import function for csv-file is 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 xml-file for future use. 
 +  * Possibility to select multiple gait phases for calculations
 ======Gait indizes====== ======Gait indizes======
 =====Gait profile score====== =====Gait profile score======
 =====Gait deviation index====== =====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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tools.1714064425.txt.gz · Zuletzt geändert: 2024/04/25 19:00 von 91.137.27.194