Ryutaro Motoya, PT, PhD, Sumiko Yamamoto, Prof, PhD, Midori Naoe, PT, Rumi Taniguchi, PT, Azusa Kawahara, PT, Takuya Iwata, PT
Jpn J Compr Rehabil Sci 12: 70-77, 2021
Objective: The objective of this study was to classify the 10 types of characteristic abnormal gait by principal component analysis using quantitative indices of 10 types of abnormal gait.
Methods: For abnormal gait pattern classification, principal component analysis was performed using the deviation values of the 10 types of abnormal gait of 90 subjects. Scatter plots of the factor loadings of the 1st and 2nd principal components of the 10 types of
abnormal gait were prepared, and those arranged at near sites were grouped based on the positional relationship, through which abnormal gait patterns were classified.
Results: It was suggested that abnormal gait patterns
can be classified into insufficient knee flexion, hip
hiking, and excessive lateral shift of the trunk over the
unaffected side in the swing phase; knee extensor
thrust pattern accompanying forefoot contact in the
stance phase in addition to circumduction gait of the
swing phase; and flexed knee gait pattern accompanying
retropulsion of the hip in addition to median whip in
the stance phase and excessive hip external rotation in
the swing phase.
Conclusions: It was clarified by these principal
component analyses that information contained in the
results of the 10 quantitative indices of abnormal gait of
the 90 poststroke hemiplegia patients was compressed
into several abnormal gait patterns. If observational
abnormal gait analysis is performed after understanding
this gait pattern classification, it may help improve the
accuracy of gait analysis by observation.
Key words: hemiplegia, abnormal gait patterns, gait analysis, 3-dimensional motion analysis, principal component analysis