@article{ref1,
title="Principal component analysis in ground reaction forces and center of pressure gait waveforms of people with transfemoral amputation",
journal="Prosthetics and orthotics international",
year="2015",
author="Soares, Denise Paschoal and Castro, Marcelo Peduzzi de and Mendes, Emilia Assunção and Machado, Leandro",
volume="40",
number="6",
pages="729-738",
abstract="BACKGROUND: The alterations in gait pattern of people with transfemoral amputation leave them more susceptible to musculoskeletal injury. Principal component analysis is a method that reduces the amount of gait data and allows analyzing the entire waveform. <br><br>OBJECTIVES: To use the principal component analysis to compare the ground reaction force and center of pressure displacement waveforms obtained during gait between able-bodied subjects and both limbs of individuals with transfemoral amputation. STUDY DESIGN: This is a transversal study with a convenience sample. <br><br>METHODS: We used a force plate and pressure plate to record the anterior-posterior, medial-lateral and vertical ground reaction force, and anterior-posterior and medial-lateral center of pressure positions of 12 participants with transfemoral amputation and 20 able-bodied subjects during gait. The principal component analysis was performed to compare the gait waveforms between the participants with transfemoral amputation and the able-bodied individuals. <br><br>RESULTS: The principal component analysis model explained between 74% and 93% of the data variance. In all ground reaction force and center of pressure waveforms relevant portions were identified; and always at least one principal component presented scores statistically different (p < 0.05) between the groups of participants in these relevant portions. <br><br>CONCLUSION: Principal component analysis was able to discriminate many portions of the stance phase between both lower limbs of people with transfemoral amputation compared to the able-bodied participants. CLINICAL RELEVANCE: Principal component analysis reduced the amount of data, allowed analyzing the whole waveform, and identified specific sub-phases of gait that were different between the groups. Therefore, this approach seems to be a powerful tool to be used in gait evaluation and following the rehabilitation status of people with transfemoral amputation.<p /> <p>Language: en</p>",
language="en",
issn="0309-3646",
doi="10.1177/0309364615612634",
url="http://dx.doi.org/10.1177/0309364615612634"
}