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Modular organization across changing task demands in healthy and poststroke gait.

Routson RL, Kautz SA, Neptune RR - Physiol Rep (2014)

Bottom Line: The number of modules required to account for >90% of the variability accounted for the EMG patterns of each muscle was found using nonnegative matrix factorization.We found that although some poststroke subjects had a smaller number of modules than healthy subjects, the same underlying modules (number and composition) in each subject (both healthy and poststroke) that contribute to steady-state walking also contribute to specific mobility capability tasks.In healthy subjects, we found that module timing, but not composition, changes when functional task demands are altered during walking.

View Article: PubMed Central - PubMed

Affiliation: Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas.

No MeSH data available.


Region definitions over the gait cycle.
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fig01: Region definitions over the gait cycle.

Mentions: To assess the differences in module timing, each module's activation timing was integrated over 100% of the gait cycle and then the percentage of the total integrated module activation timing was calculated for six regions of the gait cycle (Fig. 1; Nott et al. 2014). For each of the four groups of subjects separate one‐way ANOVAs (P < 0.05) and post hoc t‐tests with Bonferroni corrections were used to compare the percentage of the total integrated module activation timing for each of the six regions of the gait cycle across the mobility capability tasks.


Modular organization across changing task demands in healthy and poststroke gait.

Routson RL, Kautz SA, Neptune RR - Physiol Rep (2014)

Region definitions over the gait cycle.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4208640&req=5

fig01: Region definitions over the gait cycle.
Mentions: To assess the differences in module timing, each module's activation timing was integrated over 100% of the gait cycle and then the percentage of the total integrated module activation timing was calculated for six regions of the gait cycle (Fig. 1; Nott et al. 2014). For each of the four groups of subjects separate one‐way ANOVAs (P < 0.05) and post hoc t‐tests with Bonferroni corrections were used to compare the percentage of the total integrated module activation timing for each of the six regions of the gait cycle across the mobility capability tasks.

Bottom Line: The number of modules required to account for >90% of the variability accounted for the EMG patterns of each muscle was found using nonnegative matrix factorization.We found that although some poststroke subjects had a smaller number of modules than healthy subjects, the same underlying modules (number and composition) in each subject (both healthy and poststroke) that contribute to steady-state walking also contribute to specific mobility capability tasks.In healthy subjects, we found that module timing, but not composition, changes when functional task demands are altered during walking.

View Article: PubMed Central - PubMed

Affiliation: Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas.

No MeSH data available.