Sift Tutorial: Export Results: Difference between revisions
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==Exporting SPM, Curve Registration, and DTW Results== | ==Exporting SPM, Curve Registration, and DTW Results== | ||
All tools that are available on the analysis page produce results and graphs that can be exported by the two exporting dialogs presented in this tutorial. Various definitions and settings for the exporting options are available for each particular analysis type. The following images present the three remaining exporting settings for [[Sift - Statistical Parametric Mapping|SPM]], [[Sift - Curve Registration|Curve Registration]], and [[Sift - Dynamic Time Warping|DTW]]. | All tools that are available on the analysis page produce results and graphs that can be exported by the two exporting dialogs presented in this tutorial. Various definitions and settings for the exporting options are available for each particular analysis type. The following images present the three remaining exporting settings for [[Sift - Statistical Parametric Mapping|SPM]], [[Sift - Curve Registration|Curve Registration]], and [[Sift - Dynamic Time Warping|DTW]]. | ||
[[image: ExportSPM2.png]] [[image:ExportRegistered.png]] [[image:ExportDTW2.png]] | |||
==Recap== | ==Recap== |
Revision as of 18:31, 20 March 2024
Language: | English • français • italiano • português • español |
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This tutorial will show you how to export the results of your analysis. This allows users to report specific signals, metrics, or events from a data set and to share results from analysis conducted within Sift.
Data
This tutorial uses overground walking data from four subjects. The subjects walked at three different speeds: slow, normal and fast. The data was processed using a pipeline with automatic event detection and link model based item calculations (most notably the knee joint angles). [Four Subjects Walking Data Set].
This tutorial also uses query definitions that have been previously saved in a .q3d file. [AnkleAngles.q3d].
Load the Library
As with previous tutorials, we begin by loading the library and defining the queries relevant to our question.
1. Click Load Library in the toolbar to open the Load Library dialog.
2. Click Browse and select the folder where the data is stored.
3. Click Load button to import the data.
Load Queries and Compute Groups
For this tutorial we will load previously saved query definitions and use them to calculate our specific groups.
1. Click on the Query Builder icon on the toolbar and then click on Load Query Definitions.
2. Select the AnkleAngles.q3d file with the saved query definitions and Open them.
3. Select Calculate All Queries.
Three groups will now appear in the Groups list on the Explore page in Sift: ANKLE_ANGLE_X, ANKLE_ANGLE_Y, and ANKLE_ANGLE_Z. Clicking on any of the groups will show that each of the four workspaces is associated with that group.
Visualize the Groups
Export Graphs
Export Data to Text
Perform PCA
In order to export Principal Component Analysis (PCA)results, we have to first calculate the PCA results! For a full overview of how to perform PCA and interpret some of the results, see the tutorial.
1. Ensure that all groups and workspaces are selected in the Groups and Workspaces lists.
2. Open the PCA Options dialog on the toolbar.
3. Set Number PCs to 4 and ensure that Use Workspace Mean is checked.
4. Click Run PCA.
5. A summary of the PCA results will appear in the PCA dialog, and the results of these calculations will automatically populate the PCA graphs on the Analysis Page. Because the traces for each signal cluster around a distinctive mean value, almost all of the variance in these groups can be captured by a single principal component.
Export PCA Results
Exporting SPM, Curve Registration, and DTW Results
All tools that are available on the analysis page produce results and graphs that can be exported by the two exporting dialogs presented in this tutorial. Various definitions and settings for the exporting options are available for each particular analysis type. The following images present the three remaining exporting settings for SPM, Curve Registration, and DTW.
Recap
In this tutorial you learned how to export the traces visualized in Sift to common image formats. You also learned how to export three types of data to text: Signals, Metrics, and PCA Results. In addition, you learned that any analysis method can be exported to text files or images.