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穿戴式下肢电生物阻抗测量估计垂直地面反作用力特征的中期活动。

Wearable Mid-Activity Measurement of Lower Limb Electrical Bioimpedance Estimates Vertical Ground Reaction Force Features.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:91-94. doi: 10.1109/EMBC48229.2022.9871267.

Abstract

In recent years, wearable mid-activity electrical bioimpedance (EBI) sensing has been used to non-invasively track changes in edema and swelling levels within human joints. While the physiological origin of the changes in mid-activity EBI measurements have been demonstrated, EBI waveform patterns during activity have not been explored. In this work, we present a novel approach to extract waveform features from EBI measurements during gait to estimate the changes in vertical ground reaction forces (vGRF) corresponding to fatigue. Wearable EBI and vGRF data were measured from six healthy subjects during an asymmetric fatiguing protocol. For the exercised leg, the first peak of vGRF corresponding to the initial phase of simple support, decreased significantly and the loading rate increased significantly between the beginning and the end of the protocol. No significant change in these parameters were observed for the control leg. The first peak of vGRF and loading rate during the protocol (15 walking sessions) were correlated to the multi-frequency EBI features with mean Pearson's r=0.81 and r=0.777, respectively. The results of this proof-of-concept study demonstrate the feasibility of estimating biomechanical parameters during activity with wearable EBI. Clinical Relevance - The proposed wearable system and associated signal processing could enable convenient tracking of changes in vGRFs during daily living activities, allowing physiotherapists and doctors to remotely monitor the progress and adherence of their patients and thereby reducing the number of clinical visits.

摘要

近年来,可穿戴中频活动电生物阻抗(EBI)传感已被用于无创跟踪人体关节内水肿和肿胀水平的变化。虽然已经证明了中频 EBI 测量变化的生理起源,但活动期间的 EBI 波形模式尚未得到探索。在这项工作中,我们提出了一种从步态期间的 EBI 测量中提取波形特征的新方法,以估计与疲劳相关的垂直地面反作用力(vGRF)的变化。在不对称疲劳协议期间,从六名健康受试者测量了可穿戴 EBI 和 vGRF 数据。对于运动腿,与简单支撑初始阶段相对应的 vGRF 的第一峰值显著降低,并且在协议开始和结束之间,加载速率显著增加。对于对照腿,这些参数没有观察到明显变化。在协议期间(15 次步行会话)vGRF 的第一峰值和加载速率与多频 EBI 特征相关,平均 Pearson's r 分别为 0.81 和 0.777。这项概念验证研究的结果证明了使用可穿戴 EBI 估计活动期间生物力学参数的可行性。临床意义 - 所提出的可穿戴系统和相关信号处理可以方便地跟踪日常生活活动中 vGRF 的变化,使物理治疗师和医生能够远程监测患者的进展和依从性,从而减少就诊次数。

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