Right & Left GGDI and GGAI. are the necessary components for the creation of the ADplot.
For a detailed introduction of the concept, the functions and the properties of the GGDI click here.
For a detailed documentation of the calculation procedures for the GGDI click here.
For a detailed introduction of the concept, the functions and the properties of the GGAI click here.
For a detailed documentation of the calculation procedures for the GGAI click here.
By the end of 2nd stage, the three values needed for the ADplot creation have been collected.
Figure 1. Gait Analysis Kinematics Graphs with the respective RGGDI, LGGDI & GGAI.
The three values are the Right GGDI, the Left GGDI and the GGAI. Asymmetry Graphs and Deviation Graphs may also used to to observe the source of the resulted index values
Figure 2. Gait Asymmetry & Deviation Graphs with the respective RGGDI, LGGDI & GGAI.
The third stage is to use the three calculated values for each gait graph, the Right & Left GGDI together with the GGAI values to visualize their combined effect on an ADplot.
Figure 3. ADplot structure
Figure 3. ADplot single subject
In the basic version of ADplot, the indexes of a single gait graph are plotted.
Multiple Gait Graph Indexes may be plotted in a single ADplot (Multi ADplot).
For the Multi ADplots, various labeling conventions may be employed to identify the plotted points.
In Multi ADplots, separate mean values for all Left and Right curves are plotted, marked with an asterisk (*)
sign, to indicated the location of the the mean values of all the indexes included in the ADplot.
The following applications are based on versions of the Multi ADplot type.
Multiple Gait Graph Indexes may be summarized in a single point using the calculated mean value of the respective group of indexes. The drawing of the calculated Standard Deviation ranges for the of Asymmetry and Deviation indexes helps to visualize the area that the selected group is spreading. Green error bars are used for the Asymmetry indexes Standard Deviation and Red error bars for the Deviation indexes Standard Deviation.
The following applications are based on the Summary ADplot type.