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Analysis of Ankle Joint Motions for 12 Different Activities of Daily Living in the Elderly Using the Pattern Recognition Approach

机译:使用模式识别方法分析12种不同活动的12种不同活动的踝关节动作

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The characteristics of ankle joint motions in the elderly that arise from a wide range of activities of daily living (ADLs) have not been adequately assessed using a quantitative and objective pattern recognition approach. The current study aims to analyze the characteristics of ankle joint motions for 12 different ADLs in the elderly through the pattern recognition approach; this study also aims to identify whether this analysis technique is effective, quantitative and objective in understanding the characteristics of ankle joint motions. Fifty elderly participants performed 12 ADLs that were selected based on Katz's ADL indicators. Inertial measurement units were used to measure the ankle joint motions, and their patterns and similarities were analyzed using the pattern recognition approach. The results identified the inherent ankle joint motion features for each ADL. The similarities of the patterns of ADLs related to walking were very low (p < 0.25) for the ankle joint motions even though the range of motion and pattern shapes were similar to one another. The similarities of the patterns of ADLs related to sitting/rising were particularly high (p > 0.9) for dorsi/plantar flexion and low (p < 0.5) for abduction/adduction. The similarities of the patterns of ADLs related to lying/rising were high, particularly for dorsi/plantar flexion and inversion/eversion. The results suggest that applying a pattern recognition approach with a conventional kinematic analysis may be effective, quantitative, and objective in understanding the kinematic characteristics of ankle joints.
机译:使用定量和客观模式识别方法的各种日常生活(ADLS)的广泛活动产生的老年人的踝关节动作的特征尚未得到充分评估。目前的研究旨在通过模式识别方法分析老年人12种不同ADL的踝关节动作的特征;本研究还旨在确定该分析技术是否有效,定量和目的在理解踝关节动作的特征方面。五十名老年参与者执行了基于Katz的ADL指标选择的12个ADL。惯性测量单元用于测量踝关节运动,使用模式识别方法分析它们的图案和相似性。结果识别每个ADL的固有踝关节运动特征。对于踝关节运动,与行走有关的ADL的模式的相似性,即使运动范围和图案形状相似彼此相似。与坐标/上升相关的ADL模式的相似性特别高(P> 0.9),用于绑架/内接收的Dorsi / Purerar屈曲和低(P <0.5)。与躺着/上升相关的ADL模式的相似性很高,特别是对于多司/跖骨屈曲和反转/转化。结果表明,在理解踝关节的运动特性方面,应用具有传统运动学分析的模式识别方法可能是有效的,定量的,并且有目的。

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