使用惯性传感器信号评估下肢截肢者的步态模式变化:一种替代步态参数测量的方法。

IF 5.2 2区 医学 Q2 ENGINEERING, BIOMEDICAL
Gabriel Ng;Emilie Kuepper;Aliaa Gouda;Jan Andrysek
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引用次数: 0

摘要

有效的步态监测和康复对于改善残疾人的生活质量至关重要。惯性传感器有潜力使长期的步态监测和评估超出临床设置。然而,开发适应大范围步态偏差的微创系统仍然具有挑战性。本研究研究了一种替代传统的使用步态参数进行步态评估的方法,以评估是否可以通过直接分析惯性传感器的陀螺仪和加速度计数据来评估下肢假肢使用者的整体步态模式的变化。11名下肢假肢使用者使用生物反馈系统完成了行走试验,该系统旨在干扰步态模式,而另外12名使用者完成了由物理治疗师进行的步态训练。在下体的不同位置贴上惯性传感器来收集陀螺仪和加速度计的数据。评估了三种算法:基于隐马尔可夫模型的相似性度量(HMM-SM)、自组织映射和动态时间翘曲。统计分析表明,自组织地图和动态时间翘曲有效地评估了各种步态扰动策略下步态模式的变化,其中位于大腿和小腿的传感器总体上明显优于骨盆位置。研究结果表明,可穿戴和适应性步态监测系统的潜力,能够评估步态模式的变化。这些系统可以在现实环境中实现精确的步态监测和实时治疗干预,为长期康复提供了一个有前途的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of Gait Pattern Changes in Lower Limb Amputees Using Inertial Sensor Signals: An Alternative to Gait Parameter Measurement
Effective gait monitoring and rehabilitation are essential for improving the quality of life in individuals with disabilities. Inertial sensors have the potential to enable long-term gait monitoring and assessment beyond the clinical setting. However, developing minimally intrusive systems that accommodate a wide range of gait deviations remains challenging. This study investigated an alternative to traditional approaches of using gait parameters for gait assessment, to evaluate whether changes in the overall gait patterns of lower-limb prosthetic users could be assessed by directly analyzing gyroscope and accelerometer data from inertial sensors. Eleven lower-limb prosthetic users completed walk trials with a biofeedback system designed to perturb gait patterns, while an additional twelve completed a gait training session with a physiotherapist. Inertial sensors were affixed at various locations along the lower body to collect gyroscope and accelerometer data. Three algorithms were evaluated: a hidden Markov model-based similarity measure (HMM-SM), self-organizing maps, and dynamic time warping. Statistical analyses demonstrated that self-organizing maps and dynamic time warping effectively assessed changes in gait patterns under a variety of gait perturbation strategies, with sensors located on the upper legs and lower legs significantly outperforming the pelvis location overall. The findings suggest the potential for wearable and adaptable gait monitoring systems capable of assessing changes in gait patterns. These systems could enable precise gait monitoring and real-time therapeutic intervention in real-world settings, offering a promising tool for long-term rehabilitation.
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来源期刊
CiteScore
8.60
自引率
8.20%
发文量
479
审稿时长
6-12 weeks
期刊介绍: Rehabilitative and neural aspects of biomedical engineering, including functional electrical stimulation, acoustic dynamics, human performance measurement and analysis, nerve stimulation, electromyography, motor control and stimulation; and hardware and software applications for rehabilitation engineering and assistive devices.
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