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开发和试用一种在骑行过程中提供意外侧向扰动的扰动式固定自行车机器人系统(PerStBiRo 系统)。

Development and piloting of a perturbation stationary bicycle robotic system that provides unexpected lateral perturbations during bicycling (the PerStBiRo system).

机构信息

Department of Physical Therapy, Recanati School for Community Health Professions, Faculty of Health Sciences, Ben-Gurion University of the Negev, P.O.B. 653, 84105, Beer-Sheva, Israel.

Department of Mechanical Engineering, Faculty of Engineering, Ben-Gurion University of the Negev, P.O.B. 653, 84105, Beer-Sheva, Israel.

出版信息

BMC Geriatr. 2021 Jan 21;21(1):71. doi: 10.1186/s12877-021-02015-1.

Abstract

BACKGROUND

Balance control, and specifically balance reactive responses that contribute to maintaining balance when balance is lost unexpectedly, is impaired in older people. This leads to an increased fall risk and injurious falls. Improving balance reactive responses is one of the goals in fall-prevention training programs. Perturbation training during standing or treadmill walking that specifically challenges the balance reactive responses has shown very promising results; however, only older people who are able to perform treadmill walking can participate in these training regimes. Thus, we aimed to develop, build, and pilot a mechatronic Perturbation Stationary Bicycle Robotic system (i.e., PerStBiRo) that can challenge balance while sitting on a stationary bicycle, with the aim of improving balance proactive and reactive control.

METHODS

This paper describes the development, and building of the PerStBiRo using stationary bicycles. In addition, we conducted a pilot randomized control trial (RCT) with 13 older people who were allocated to PerStBiRo training (N = 7) versus a control group, riding stationary bicycles (N = 6). The Postural Sway Test, Berg Balance Test (BBS), and 6-min Walk Test were measured before and after 3 months i.e., 20 training sessions.

RESULTS

The PerStBiRo System provides programmed controlled unannounced lateral balance perturbations during stationary bicycling. Its software is able to identify a trainee's proactive and reactive balance responses using the Microsoft Kinect™ system. After a perturbation, when identifying a trainee's trunk and arm reactive balance response, the software controls the motor of the PerStBiRo system to stop the perturbation. The pilot RCT shows that, older people who participated in the PerStBiRo training significantly improved the BBS (54 to 56, p = 0.026) and Postural Sway velocity (20.3 m/s to 18.3 m/s, p = 0.018), while control group subject did not (51.0 vs. 50.5, p = 0.581 and 15 m/s vs. 13.8 m/s, p = 0.893, respectively), 6MWT tended to improve in both groups.

CONCLUSIONS

Our participants were able to perform correct balance proactive and reactive responses, indicating that older people are able to learn balance trunk and arm reactive responses during stationary bicycling. The pilot study shows that these improvements in balance proactive and reactive responses are generalized to performance-based measures of balance (BBS and Postural Sway measures).

摘要

背景

平衡控制,特别是在平衡意外丧失时有助于维持平衡的平衡反应能力,在老年人中受损。这会导致跌倒风险增加和受伤跌倒。提高平衡反应能力是预防跌倒训练计划的目标之一。在站立或跑步机行走时进行的扰动训练,专门挑战平衡反应能力,已显示出非常有希望的结果;然而,只有能够进行跑步机行走的老年人才能参加这些训练计划。因此,我们旨在开发、构建和试点一种机电平衡反应性站立自行车机器人系统(即 PerStBiRo),该系统可以在坐在固定自行车上时挑战平衡,旨在改善平衡主动和反应控制。

方法

本文介绍了使用固定自行车开发和构建 PerStBiRo 的情况。此外,我们对 13 名老年人进行了一项随机对照试验(RCT),将他们分为 PerStBiRo 训练组(N=7)和对照组,即骑固定自行车(N=6)。在 3 个月即 20 次训练后,分别测量了姿势摆动试验、伯格平衡测试(BBS)和 6 分钟步行测试。

结果

PerStBiRo 系统在固定自行车骑行时提供程序控制的意外侧向平衡扰动。其软件能够使用 Microsoft KinectTM 系统识别学员的主动和反应性平衡反应。在受到扰动后,当识别学员的躯干和手臂反应性平衡反应时,软件会控制 PerStBiRo 系统的电机停止扰动。该试点 RCT 表明,参加 PerStBiRo 训练的老年人的 BBS(54 至 56,p=0.026)和姿势摆动速度(20.3m/s 至 18.3m/s,p=0.018)显著提高,而对照组受试者则没有(51.0 对 50.5,p=0.581 和 15m/s 对 13.8m/s,p=0.893,分别),6MWT 两组均有改善趋势。

结论

我们的参与者能够进行正确的平衡主动和反应性反应,表明老年人能够在固定自行车骑行时学习平衡躯干和手臂反应性反应。初步研究表明,这些平衡主动和反应性反应的改善可以推广到基于表现的平衡测量(BBS 和姿势摆动测量)。

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