利用主成分分析法对全身关节运动进行降维处理,以表达正常的进食动作

Jun Nakatake, Shigeaki Miyazaki, Hideki Arakawa, Etsuo Chosa
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引用次数: 0

摘要

了解基本的进食动作和姿势对于改善职业治疗中的评估和干预策略至关重要,尤其是对于进食困难的个体,以及对护理人员和学生进行教育也是如此;然而,目前的评估工具在评估复杂的进食动作时缺乏精确性,而且往往依赖于主观判断而非客观测量。我们的目的是利用主成分分析法(PCA)确定与不同进食阶段相对应的基本动作和姿势。这项横断面观察研究在一家地方国立大学医院进行,包括 45 名健康、右撇型成年志愿者(23 名男性和 22 名女性),年龄在 20-39 岁之间(平均年龄为 27.3 岁),无神经或肌肉骨骼损伤。使用三维惯性传感器动作捕捉系统捕捉了用勺子喂酸奶时的动作。通过对四个喂食阶段的全身关节运动数据进行 PCA 分析,得出了主成分(PC)及其得分。使用弗里德曼检验和事后检验比较了不同阶段的 PC 分值。代表全身运动的主要 PC 占方差的 50.0%;与手部方向变化相关的第二个 PC 占方差的 13.7%。前六个 PC 的累积方差为 87.4%,包括单个身体部位运动和定点或这些运动的组合。不同喂食阶段之间存在显著差异,尤其是在伸手和运送阶段,其全身运动比用勺和用嘴阶段更大。用勺阶段的手部方向变化比用嘴阶段更明显。PCA有助于确定关键的基本动作及其相应的喂食阶段,可用于评估喂食困难的患者并指导职业治疗干预。
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Normal feeding movements expressed by dimensionality reduction of whole-body joint motions using principal component analysis
Understanding elementary feeding movements and postures is essential for improving assessment and intervention strategies in occupational therapy, particularly for individuals with eating difficulties, and for educating caregivers and students; however, current assessment tools lack precision in evaluating complex feeding movements and often rely on subjective judgments rather than objective measures. We aimed to determine elementary movements and postures corresponding to different feeding phases using principal component analysis (PCA). This cross-sectional observational study was conducted at a Local National University Hospital and included 45 healthy, right-handed adult volunteers (23 men and 22 women) aged 20–39 years (mean age, 27.3 years), with no neurological or musculoskeletal impairments. Movements during yogurt feeding using a spoon were captured with a three-dimensional inertial sensor motion capture system. Principal components (PCs) and their scores were derived from PCA of whole-body joint motion data across four feeding phases. PC scores were compared between phases using Friedman’s and post-hoc tests. The primary PC, representing whole-body movement, accounted for 50.0% of the variance; the second PC, associated with hand direction changes, accounted for 13.7%. The cumulative variance of the first six PCs was 87.4%, including individual body-part movements and fixations or combinations of these. Significant differences existed between feeding phases, particularly in the reaching and transport phases, which showed greater whole-body movement than that during the spooning and mouth phases. Hand direction changes were more prominent during the spooning phase than during the mouth phase. PCA helped determine key elementary movements and their corresponding feeding phases, which can be used to assess patients with feeding difficulties and guide occupational therapy interventions.
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