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基于电动鞋的用于步态评估与康复的足部穿戴式惯性传感器。

Foot worn inertial sensors for gait assessment and rehabilitation based on motorized shoes.

作者信息

Aminian K, Mariani B, Paraschiv-Ionescu A, Hoskovec C, Bula C, Penders J, Tacconi C, Marcellini F

机构信息

Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzeralnd. aminian@ epfl.ch

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:5820-3. doi: 10.1109/IEMBS.2011.6091440.

Abstract

Fall prevention in elderly subjects is often based on training and rehabilitation programs that include mostly traditional balance and strength exercises. By applying such conventional interventions to improve gait performance and decrease fall risk, some important factors are neglected such as the dynamics of the gait and the motor learning processes. The EU project "Self Mobility Improvement in the eLderly by counteractING falls" (SMILING project) aimed to improve age-related gait and balance performance by using unpredicted external perturbations during walking through motorized shoes that change insole inclination at each stance. This paper describes the shoe-worn inertial module and the gait analysis method needed to control in real-time the shoe insole inclination during training, as well as gait spatio-temporal parameters obtained during long distance walking before and after the 8-week training program that assessed the efficacy of training with these motorized shoes.

摘要

老年人的跌倒预防通常基于训练和康复计划,这些计划大多包括传统的平衡和力量练习。通过应用此类常规干预措施来改善步态表现并降低跌倒风险时,一些重要因素被忽视了,比如步态的动力学和运动学习过程。欧盟项目“通过对抗跌倒改善老年人自我移动性”(微笑项目)旨在通过在行走过程中使用电动鞋施加不可预测的外部扰动来改善与年龄相关的步态和平衡表现,这种电动鞋在每次站立时会改变鞋垫倾斜度。本文描述了训练期间用于实时控制鞋垫倾斜度的鞋载惯性模块和步态分析方法,以及在为期8周的训练计划前后长距离行走过程中获得的步态时空参数,该训练计划评估了这些电动鞋训练的效果。

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