Tscheuschner R, Tober H, Rosenberger H
Reinhard Tscheuschner, OTB Orthopädie-Technik Berlin KG, Tscheuschner & Partner GmbH&Co.
Biomed Tech (Berl). 1994 Jun;39(6):156-61.
Nowadays, the fitting of a lower-limb prosthesis is done mainly on an empirical basis. The main aim of the present study was to provide objective data and presentations to support the subjective data. With the aid of a cybernetic statement, the process of fitting a prosthesis to a human subject was developed as a self-optimizing control cycle. Using this systematic scheme, the walking trial was identified as the process element of this control cycle in which the fitting proper took place. Starting with this systematic scheme, the characteristics of defined changes to the system human-prosthesis during walking were measured with the aid of a specially configured gait analysis system. For the estimation of the characteristics of the measured walking trial, a three stage parameter system based initially only on the angle, velocity and acceleration curves at the knee joint was developed. On the basis of pattern recognition routines, the parameter system permits a very high level of identification of the measurements. The identification of poor fittings not covered by the pattern recognition system is not yet satisfactory. However, with the incorporation of additional gait parameters, it will be possible to further improve the description of the gait, enabling better recognition of disturbances in the human-prosthesis system.
如今，下肢假肢的装配主要基于经验。本研究的主要目的是提供客观数据和展示，以支持主观数据。借助控制论的表述，将为人类受试者装配假肢的过程发展为一个自我优化的控制循环。利用这一系统方案，行走试验被确定为该控制循环中进行实际装配的过程要素。从这一系统方案出发，借助专门配置的步态分析系统，测量了行走过程中人体 - 假肢系统特定变化的特征。为了估计所测量行走试验的特征，开发了一个最初仅基于膝关节角度、速度和加速度曲线的三阶段参数系统。基于模式识别程序，该参数系统能够对测量结果进行高度识别。对于模式识别系统未涵盖的不合适装配的识别仍不尽人意。然而，通过纳入更多步态参数，将有可能进一步改进对步态的描述，从而更好地识别人体 - 假肢系统中的干扰。
