Faculty of Engineering, Department of Mechanical Engineering, University of Ottawa, Ottawa, Canada.
Ottawa Hospital Research Institute, Centre for Rehabilitation Research and Development, Ottawa, Canada.
J Neuroeng Rehabil. 2023 Nov 9;20(1):152. doi: 10.1186/s12984-023-01273-x.
Control system design for a microprocessor-controlled hip-knee-ankle-foot (HKAF) prosthesis is a challenge since hip disarticulation amputees lack the entire leg and, therefore, only have pelvis movement as user-guided input. This research proposes a method for determining hip joint angles from pelvis movement in a control system for the next generation of powered prostheses.
Three-dimensional pelvic motion and stance time of 10 transfemoral (TF) prosthetic users were used to identify important features and to develop an algorithm to calculate hip angles from pelvis movement based on correlation and linear regression results. The algorithm was then applied to a separate (independent) TF group to validate algorithm performance.
The proposed algorithm calculated viable hip angles during walking by utilizing pelvic rotation, pelvic tilt, and stance time. Small angular differences were found between the algorithm results and motion capture data. The greatest difference was for hip maximum extension angle (2.5 ± 2.0°).
Since differences between algorithm output and motion data were within participant standard deviations, the developed algorithm could be used to determine the desired hip angle from pelvis movements. This study will aid the future development of gait control systems for new active HKAF prostheses.
由于髋关节离断截肢者失去了整条腿,因此只有骨盆运动作为用户引导输入,因此,微处理器控制的髋膝踝足(HKAF)假肢的控制系统设计是一项挑战。本研究提出了一种从控制系统中骨盆运动确定髋关节角度的方法,用于下一代动力假肢。
使用 10 名股骨假肢使用者的三维骨盆运动和站立时间来识别重要特征,并基于相关性和线性回归结果开发一种从骨盆运动计算髋关节角度的算法。然后将该算法应用于一个独立的(独立的)TF 组,以验证算法性能。
所提出的算法通过利用骨盆旋转、骨盆倾斜和站立时间来计算行走时可行的髋关节角度。在算法结果和运动捕捉数据之间发现了小的角度差异。最大的差异是髋关节最大伸展角度(2.5±2.0°)。
由于算法输出和运动数据之间的差异在参与者标准差范围内,因此可以使用开发的算法从骨盆运动确定所需的髋关节角度。本研究将有助于新的主动 HKAF 假肢步态控制系统的未来发展。