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[面向未来常规临床应用的综合步态分析]

[Integrated gait analysis for future routine clinical use].

作者信息

Mainka C, Boenick U

机构信息

Technik, Technische Universität Berlin, Institut für Biomedizinische.

出版信息

Biomed Tech (Berl). 1993 Dec;38(12):325-31. doi: 10.1515/bmte.1993.38.12.325.

DOI:10.1515/bmte.1993.38.12.325
PMID:8123773
Abstract

To describe the phenomenon of human movement by means of kinematic and kinetic measurements in a more objective manner, so-called integrated gait analysis systems have been developed. Although the commercially available equipment has already reached high technical levels, it does not play an important role in routine clinical applications. Due to this fact, the main arguments of the practitioners still address the practicability of the devices as well as the lack of meaningful software support for data assessment. The former concern has led to the integration of two KISTLER platforms beneath a treadmill belt in order to continuously capture 3D ground reaction force data. The latter one has prompted the development of an additional software kit, which statistically preprocesses the raw data set for further computations and which should prospectively allow a detailed analysis with artificial intelligence techniques. This new software becomes even more meaningful from the practitioner's point of view, because it may also be used as a stand alone unit for a preliminary assessment of gait patterns. The first part deals with the design of integrating two KISTLER platforms beneath the treadmill belt. A description of the analysis software follows, which removes noise, especially the influence of friction, from the raw data set. Thereby the 3D ground reaction force, which is originally caused by the patient while walking, is reconstructed. Preliminary results are presented. In the second part methods of automatically preprocessing the kinematic data set are focused upon.

摘要

为了更客观地通过运动学和动力学测量来描述人体运动现象,人们开发了所谓的综合步态分析系统。尽管市售设备已经达到了很高的技术水平,但它在常规临床应用中并未发挥重要作用。由于这一事实,从业者的主要观点仍然集中在设备的实用性以及缺乏对数据评估有意义的软件支持上。前一个问题促使人们将两个奇石乐平台集成到跑步机皮带下方,以便连续采集三维地面反作用力数据。后一个问题促使人们开发了一个额外的软件包,该软件包对原始数据集进行统计预处理,以便进行进一步计算,并有望允许使用人工智能技术进行详细分析。从从业者的角度来看,这个新软件变得更有意义,因为它也可以作为一个独立的单元用于步态模式的初步评估。第一部分讨论了将两个奇石乐平台集成到跑步机皮带下方的设计。接下来是对分析软件的描述,该软件从原始数据集中去除噪声,尤其是摩擦力的影响。从而重建了最初由患者行走时产生的三维地面反作用力。给出了初步结果。第二部分重点介绍了自动预处理运动学数据集的方法。

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