Hier werden die Unterschiede zwischen zwei Versionen angezeigt.
Beide Seiten der vorigen Revision Vorhergehende Überarbeitung Nächste Überarbeitung | Vorhergehende Überarbeitung Nächste Überarbeitung Beide Seiten der Revision | ||
tools [2022/11/26 04:20] 161.97.135.248 alte Version wiederhergestellt (2022/03/26 04:59) |
tools [2024/04/26 19:38] 37.187.73.123 alte Version wiederhergestellt (2023/08/28 06:50) |
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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:// | ||
+ | |||
+ | =====Features===== | ||
+ | For a long time in the Gaitlab Heidelberg the Matlab based tools " | ||
+ | |||
+ | * It works for arbitrary filetypes, not only normalized data saved as [[http:// | ||
+ | * 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/ | ||
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+ | |||
+ | =====Advantages in comparison to GDMiner===== | ||
+ | * **GDMiner** can work only with [[http:// | ||
+ | * It has its own robust [[http:// | ||
+ | * More flexibility in definition of phases: E.g. phases can start with " | ||
+ | |||
+ | |||
+ | ===== Advantages in comparison to Parametersuche ===== | ||
+ | * Multiple " | ||
+ | * Calculation of data for both sides in one step. | ||
+ | * The data processing settings can be saved as an [[http:// | ||
+ | * Possibility to select multiple "gait phases" | ||
======Gait indizes====== | ======Gait indizes====== | ||
=====Gait profile score====== | =====Gait profile score====== | ||
=====Gait deviation index====== | =====Gait deviation index====== | ||
- | ======Generic data mining====== | + | ======MoMo and Matlab Tools Integration====== |
- | ======Working with Session Sets====== | + | There are several tools, which support legacy MoMo and Matlab Tools, described in the Nimue platform documentation, |
- | 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====== | + | The following tools are available: |
- | A csv-file as it can be exported via Excel can be imported in a Nimue-Platform Project. It is saved as an xml-file in the subfoler | + | |
+ | ==== Usage of Examination info files ==== | ||
+ | [[http:// | ||
+ | |||
+ | ==== Import | ||
+ | [[http:// | ||
+ | |||
+ | ======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 | ||
+ | * xy-plots, phase-angles plots, ... | ||
+ | * More flexible visualisation of events (more than one event-Type), | ||
+ | * 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: | ||
+ | * " | ||
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