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• W2067552350 abstract "The use of parameterization inassessing gait waveforms has been widely accepted, although it is recognizedthat this approach excludes the majority of information contained in thewaveform. Waveform analysis techniques,such as principal component analysis (PCA), have gained popularity inrecent years as a moreeffective approach to extracting important information from human movementwaveforms, but are more challenging to interpret. Few studies have comparedthese two different approaches to determine which yields the most relevantinformation. This study compared the kinematic patterns during gait of six total knee arthroplasty (TKA)subjects (10 TKA knees), to a group of 10 age-matched asymptomatic control subjects (19 control knees). An eight-camera Vicon M-cam systemwas used to track movement and compute joint angles. Group differences in parameterization (max and min peaks) valuesand principal component scores were tested using one-way ANOVA andKruskal-Wallis tests. Using parameterization, the TKA group was characterized by reduced hip extension,increased hip flexion, increased anterior pelvic tilt, increased trunk tilt,and reduced sagittal ankle angles compared to the control group. Waveformanalysis, by means of PCA, showed-magnitudeshifts in sagittal ankle waveforms betweengroups, rather than solely reporting differences in peaks. Waveform analysis also indicated a significant shift in the magnitudeof the entire waveform for hip angles, pelvic tilt, and trunk tilt, indicatingno change in range of motion between groups, but rather a change in the way inwhich range of motion isachieved at the hip. This study has identified several gait variables that weresignificantly different between the TKA and control groups. Our results suggestthat waveform analysis is effective at identifying magnitude shifts as sourcesof variability between groups, which would not necessarily be analyzed usingconventional parameterization techniques unless one knew a priori where thevariability would exist." @default.
• W2067552350 created "2016-06-24" @default.
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• W2067552350 date "2013-01-01" @default.
• W2067552350 modified "2023-10-01" @default.
• W2067552350 title "Examining Gait Patterns after Total Knee Arthroplasty Using Parameterization and Principal Component Analysis" @default.
• W2067552350 cites W1860020357 @default.
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• W2067552350 doi "https://doi.org/10.4236/ojo.2013.32028" @default.
• W2067552350 hasPublicationYear "2013" @default.
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