Soares Denise Paschoal, de Castro Marcelo Peduzzi, Mendes Emilia Assunção, Machado Leandro
Porto Biomechanics Laboratory and Faculty of Sport, University of Porto, Porto, Portugal
Porto Biomechanics Laboratory and Faculty of Sport, University of Porto, Porto, Portugal.
Prosthet Orthot Int. 2016 Dec;40(6):729-738. doi: 10.1177/0309364615612634. Epub 2015 Nov 23.
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.
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.
This is a transversal study with a convenience sample.
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.
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.
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.
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.
经股截肢者的步态模式改变使他们更容易受到肌肉骨骼损伤。主成分分析是一种减少步态数据量并允许分析整个波形的方法。
使用主成分分析比较健全受试者与经股截肢者双下肢在步态过程中获得的地面反作用力和压力中心位移波形。
这是一项采用便利样本的横断面研究。
我们使用测力板和压力板记录了12名经股截肢参与者和20名健全受试者在步态过程中的前后、内外侧地面反作用力以及前后和内外侧压力中心位置。进行主成分分析以比较经股截肢参与者和健全个体之间的步态波形。
主成分分析模型解释了74%至93%的数据方差。在所有地面反作用力和压力中心波形中都识别出了相关部分；并且在这些相关部分中，两组参与者之间总是至少有一个主成分呈现出统计学上不同的分数（p < 0.05）。
与健全参与者相比，主成分分析能够区分经股截肢者双下肢站立期的许多部分。
主成分分析减少了数据量，允许分析整个波形，并识别出两组之间不同的特定步态子阶段。因此，这种方法似乎是用于步态评估和跟踪经股截肢者康复状况的有力工具。
Zotero 插件