利用智能机器人助行器评估步态对称性：一种新颖的移动能力评估方法
Evaluating Gait Symmetry with a Smart Robotic Walker: A Novel Approach to Mobility Assessment
AI总结：
本文提出利用配备不对称检测方案的智能助行器，通过分析用户与助行器间的交互力矩并结合季节-趋势分解，实现步态对称性评估，实验准确率达84.9%，为个性化康复提供精准监测工具。
摘要：
步态不对称是衰老、中风等多种神经或身体疾病的结果，会对双足行走产生不利影响，导致生物力学改变、增加跌倒风险并降低生活质量。针对这一关键问题，本文提出了一种新颖的步态对称性分析诊断方法，通过使用配备创新性不对称检测方案的辅助型机器人智能助行器（Smart Walker）来实现。该方法分析传感器测量数据，这些数据捕捉用户与助行器之间的交互力矩。通过应用季节-趋势分解工具，我们在这些数据中分离出步态特异性模式，从而能够估计步幅持续时间并计算对称性指数。通过涉及5名实验者的实验，我们证明了智能助行器在受控测试环境中检测和量化步态不对称的能力，识别不对称案例的准确率达到84.9%。进一步的分析探索了基于其根本原因对这些不对称进行分类，为步态评估提供了有价值的见解。结果强调了该设备作为一种精确、即用型监测工具用于个性化康复的潜力，有助于实施针对性干预以改善患者预后。
英文摘要：
Gait asymmetry, a consequence of various neurological or physical conditions such as aging and stroke, detrimentally impacts bipedal locomotion, causing biomechanical alterations, increasing the risk of falls and reducing quality of life. Addressing this critical issue, this paper introduces a novel diagnostic method for gait symmetry analysis through the use of an assistive robotic Smart Walker equipped with an innovative asymmetry detection scheme. This method analyzes sensor measurements capturing the interaction torque between user and walker. By applying a seasonal-trend decomposition tool, we isolate gait-specific patterns within these data, allowing for the estimation of stride durations and calculation of a symmetry index. Through experiments involving 5 experimenters, we demonstrate the Smart Walker's capability in detecting and quantifying gait asymmetry by achieving an accuracy of 84.9% in identifying asymmetric cases in a controlled testing environment. Further analysis explores the classification of these asymmetries based on their underlying causes, providing valuable insights for gait assessment. The results underscore the potential of the device as a precise, ready-to-use monitoring tool for personalized rehabilitation, facilitating targeted interventions for enhanced patient outcomes.
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