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visual3d:tutorials:knowledge_discovery:assesing_stability_during_gait [2024/11/15 19:12] – wikisysopvisual3d:tutorials:knowledge_discovery:assesing_stability_during_gait [2024/11/15 19:14] (current) – wikisysop
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 The most common way that the literature addresses stability in standing and walking is through the Margin Of Stability (MoS). When the extrapolated center of mass (xCoM) is within the Base of Support (BoS), the MoS is positive, indicating that the system is stable. If MoS is negative, this would indicate that the xCoM outside the BoS, and the system is unstable [1]. In this interpretation, it is unclear where the XCoM is positioned when we are given a negative or positive MoS. The subject could be beyond the boundary of stability to the left, right, forward, or behind, and the MoS value as it is presented does not describe where the limit is crossed. Additionally, MoS values are often averaged over strides, which does not provide information about stride-to-stride variability and also assumes that the trajectory of a stride is independent of past or future strides [2]. These limitations make it difficult to interpret the MoS as a measure of stability during walking. It is important that we explore alternative ways of organizing and displaying MoS values that can overcome some of these limitations - which we will do in this tutorial! The most common way that the literature addresses stability in standing and walking is through the Margin Of Stability (MoS). When the extrapolated center of mass (xCoM) is within the Base of Support (BoS), the MoS is positive, indicating that the system is stable. If MoS is negative, this would indicate that the xCoM outside the BoS, and the system is unstable [1]. In this interpretation, it is unclear where the XCoM is positioned when we are given a negative or positive MoS. The subject could be beyond the boundary of stability to the left, right, forward, or behind, and the MoS value as it is presented does not describe where the limit is crossed. Additionally, MoS values are often averaged over strides, which does not provide information about stride-to-stride variability and also assumes that the trajectory of a stride is independent of past or future strides [2]. These limitations make it difficult to interpret the MoS as a measure of stability during walking. It is important that we explore alternative ways of organizing and displaying MoS values that can overcome some of these limitations - which we will do in this tutorial!
  
-{{:MoS_Intro.png}}+{{:MoS_Intro.png?400}}
  
 ==== Data ==== ==== Data ====
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 ===== Further MoS Analysis ===== ===== Further MoS Analysis =====
  
-{{:NormalizedMoSSigs.png}}+{{:NormalizedMoSSigs.png?400}}
  
 In the **MOS_NEW** derived folder, you will see several normalized signals for each left or right stride of the selected walking trial. This was done to plot several strides on top of eachother. Here we only have a few strides, but analyzing these MoS signals normalized between heel strikes may be a more useful way to assess a subject's stability. If we consider that the MoS is being classified as ‘unstable’ for the majority of the stride, but we know the subject walked normally and did not fall, we might be able to detect moments of actual instability through outlier MoS strides. {{:NormalizedMoSPlot.png}} In the **MOS_NEW** derived folder, you will see several normalized signals for each left or right stride of the selected walking trial. This was done to plot several strides on top of eachother. Here we only have a few strides, but analyzing these MoS signals normalized between heel strikes may be a more useful way to assess a subject's stability. If we consider that the MoS is being classified as ‘unstable’ for the majority of the stride, but we know the subject walked normally and did not fall, we might be able to detect moments of actual instability through outlier MoS strides. {{:NormalizedMoSPlot.png}}
visual3d/tutorials/knowledge_discovery/assesing_stability_during_gait.1731697931.txt.gz · Last modified: 2024/11/15 19:12 by wikisysop