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运动的适应性机器人康复:脊髓损伤患者的临床研究

Adaptive robotic rehabilitation of locomotion: a clinical study in spinally injured individuals.

作者信息

Jezernik S, Schärer R, Colombo G, Morari M

机构信息

Swiss Federal Institute of Technology (ETH Zürich), Automatic Control Laboratory, Zürich, Switzerland.

出版信息

Spinal Cord. 2003 Dec;41(12):657-66. doi: 10.1038/sj.sc.3101518.

Abstract

STUDY DESIGN

Clinical study on six spinal cord-injured subjects. The performance of two automatic gait-pattern adaptation algorithms for automated treadmill training rehabilitation of locomotion (called DJATA1 and DJATA2) was tested and compared in this study.

OBJECTIVES

To test the performance of the two algorithms and to evaluate the corresponding patient satisfaction. We also wanted to evaluate the motivation of the patients to train with a fixed gait pattern versus training where they can influence and change the gait pattern (gait-pattern adaptation).

SETTING

Spinal Cord Injury Center Paracare, Balgrist, Zürich, Switzerland.

METHODS

The experimental data were collected during six blinded and randomized training trials (comprising three different conditions per algorithm) split into two training sessions per patient. During the experiments, we have recorded the time courses of the six parameters describing the adaptation. Additionally, a special patient questionnaire was developed that allowed us to collect data regarding the quality, perception, speed, and required effort of the adaptation, as well as patients' opinion that addressed their motivation. The achieved adaptation was evaluated based on the time course of adaptation parameters and based on the patient questionnaire. A statistical analysis was made in order to quantify the data and to compare the two algorithms.

RESULTS

Significant adaptation of the gait pattern took place. The patients were in most cases able to change the gait pattern to a desired one and have always perceived the adaptation. No statistically significant differences were found between the performances of the two algorithms based on the evaluated data. However, DJATA2 achieved better adaptation scores. All patients preferred treadmill training with gait-pattern adaptation.

CONCLUSION

In the future, the patients would like to train with gait-pattern adaptation. Besides the subjective opinion indicating the choice of this training modality, gait-pattern adaptation also might lead to additional improvement of the rehabilitation of locomotion as it increases and promotes active training.

SPONSORSHIP

The work was supported by The Swiss Commission for Technology and Innovation (Project No. 4005.1).

摘要

研究设计

对6名脊髓损伤受试者进行的临床研究。本研究测试并比较了两种用于自动跑步机训练运动康复的自动步态模式自适应算法(称为DJATA1和DJATA2)的性能。

目的

测试这两种算法的性能并评估相应的患者满意度。我们还想评估患者在固定步态模式下训练与在能够影响和改变步态模式(步态模式自适应)的训练中的积极性。

地点

瑞士苏黎世巴尔格里斯特Paracare脊髓损伤中心。

方法

实验数据是在6次盲法随机训练试验(每种算法包含三种不同条件)期间收集的,每位患者分为两个训练阶段。在实验过程中,我们记录了描述自适应的六个参数的时间进程。此外,还开发了一份特殊的患者问卷,使我们能够收集有关自适应的质量、感知、速度和所需努力的数据,以及患者关于其积极性的意见。基于自适应参数的时间进程和患者问卷对实现的自适应进行评估。进行了统计分析以量化数据并比较这两种算法。

结果

步态模式发生了显著自适应。在大多数情况下,患者能够将步态模式改变为期望的模式,并且始终能感知到自适应。基于评估数据,两种算法的性能之间未发现统计学上的显著差异。然而,DJATA2获得了更好的自适应分数。所有患者都更喜欢进行步态模式自适应的跑步机训练。

结论

未来,患者希望进行步态模式自适应训练。除了表明选择这种训练方式的主观意见外,步态模式自适应还可能导致运动康复的进一步改善,因为它增加并促进了主动训练。

资助

这项工作得到了瑞士技术与创新委员会(项目编号4005.1)的支持。

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