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--- sift:gait_measures:global_gait_asymmetry [2024/11/26 20:08] – wikisysop
+++ sift:gait_measures:global_gait_asymmetry [2024/12/17 20:22] (current) – [Mathematics of LGGA] wikisysop
@@ Line 6: / Line 6: @@
 The LGGA was developed to improve gait symmetry retraining methods and tests the effectiveness of classify induced asymmetry [1]. The original definition of the LGGA uses the three dimensional joint angles that are time normalized to left and right gait cycles, including the hip, knee, ankle, trunk wrt pelvis, and the pelvis wrt the lab [1]. The implementation of the LGGA in Sift follows the mathematical principals of Cabral et. al., however, allows users to specify the kinematic and kinetic measures to include.
+----
 ==== Mathematics of LGGA ====
-the following equation considers xl and xr to be individual points of the left and right matching signal components.
+The following equation considers xl and xr to be individual points of the left and right matching signal components.
 All signals are time normalized to 101 points.
@@ Line 20: / Line 22: @@
 {{:GGA_Equation.png?300}}
+----
 ==== GGA in Sift ====
 Here we will walk through an example of how to calculate GGA values on a dataset in Sift, and plot and export our results. This tutorial is a general example, and should be applicable to any gait data that has [[Visual3D:Documentation:Visual3D_Signal_Types:LINK_MODEL_BASED_Data_Type|LINK_MODEL_BASED]] signals and [[Visual3D:Tutorials:Events:Gait_Events|gait events]].
 === Load Library ===
@@ Line 64: / Line 69: @@
 === View and Export Results ===
+{{ :Export_GGA.png?300}}
 We can view the LGGA results on the Sift [[Sift:Application:Explore_Page|Explore Page]] by plotting the LGGA or LGGA_Components group, depending on the kinds of comparisons we want to make.
-Here we have selected the LGGA1 group and all subgroups.
+On the figure below, we have selected the LGGA1 group and all subgroups.
-Let's say we want to compare the asymmetry values between subjects, which are represented by their independent CMZ workspaces. I have selected plot workspace mean and standard deviation for my figure refinement. The LGGA scores computed for the c3d files are stored as metrics, and can be plotted as Metrics or Metric-Metric.
+Let's say we want to compare the asymmetry values between subjects, which are represented by their independent CMZ workspaces. We have selected plot workspace mean and standard deviation for my figure refinement. The LGGA scores computed for the c3d files are stored as metrics, and can be plotted as Metrics or Metric-Metric.
 To export figures, we can right click on the selected plot and hit [[Sift:Export:Export_Graphs_Dialog|export graph]].
-To export our metric data results, we can select the [[Sift:Export:Export_Results_Dialog|export text results]] icon {{:sift_export_results.png}} in the [[Sift:Application:Toolbar|main toolbar]]. In this dialog we will change the default settings so that we export the workspace mean and standard deviation values of the LGGA results to reflect our plotted data.
+To export our metric data results, we can select the [[Sift:Export:Export_Results_Dialog|export text results]] icon {{:sift_export_results.png?20}} in the [[Sift:Application:Toolbar|main toolbar]]. In this dialog we will change the default settings so that we export the workspace mean and standard deviation values of the LGGA results to reflect our plotted data.
+{{:GGAResults.png?}}
-{{:GGAResults.png?400}}
-{{:Export_GGA.png?400}}
 \\
+----
 ==== References ====