A Biomimetic, Self Tuning, Fully Adaptable Smart Lower Limb Prosthetics with Energy Recovery

具有能量回收功能的仿生、自调节、完全适应性智能下肢假肢

• 批准号: EP/K020463/1
• 负责人: Abbas Dehghani-Sanij
• 金额: $ 78.83万
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FK020463%2F1
• 关键词: Biomimetic; Self; Tuning; Fully; Adaptable

Every year, thousands of people lose a lower limb as a result of a range of factors such as circulatory problems, complications of diabetes or trauma. Current lower limb prostheses can be divided into three groups: i) Purely passive mechanical and requiring a significant voluntary control effort; ii) Actively controlled in which the limb performance is measured and parameters altered to improve performance; iii) Actively driven, or powered prostheses using actuators to directly input mechanical work into the limb. The latter devices do not take into consideration the dynamic interaction between the body elements and prostheses. As a result, they require large amounts of energy and have low efficiency. Therefore they are not in harmony and synergy with the human body. Hence, there is a need for a new generation of lower limb prostheses which can mimic the human muscle by combining active and passive modes. The new generation of prostheses should have a plug and play characteristic and the limb would self tune to the current walking situation (level, slopes and stairs) to optimise the system performance to the user. During the walking cycle, the artificial limb will switch between delivering energy to the walking motion to harvesting energy during the swing phase; prolonging battery power and reducing the burden on the batteries. The aim of this project is to design and develop a new smart lower limb prosthesis through a research programme structured around the following activities. 1) Use of body hub sensors to measure gait dynamics in real time;2) Use of prosthesis integrated sensors interfaced with the human limb to measure reaction loads during prosthesis use; 3) Estimation of user intent and evaluation of the potential for haptic or other forms of feedback from the prosthesis to enhance its usability; 4) Optimisation of energy use through dynamic coupling and energy generation; and 5) Improvements in limb comfort associated with extended periods of wear.The outcome of the research will be a step change towards the use of technology in relation to the human body and mobility considering human-machine dynamic interaction. The research outcomes will address a number of healthcare challenges associated with the restoration of mobility in amputees, and paves the way for a new direction in the design and development of devices to support mobility in an aging population and applications such as the rehabilitation of stroke patients. The world's third largest manufacture of prosthetics is in the UK and this research will boost the advancement of the UK position worldwide by providing enhanced opportunities for commercialisation.

每年，由于循环问题，糖尿病并发症等一系列因素，成千上万的人失去了下肢。当前的下肢假体可以分为三组：i）纯粹的被动机械和需要大量自愿控制； ii）主动控制肢体性能的测量并改变参数以提高性能； iii）使用执行器积极驱动或有动力的假肢将机械工作直接输入肢体。后一个设备没有考虑到身体元素和假体之间的动态相互作用。结果，它们需要大量的能量，并且效率低。因此，它们与人体并不和谐相处。因此，需要新一代的下肢假体，可以通过结合主动和被动模式来模仿人类的肌肉。新一代的假体应该具有插头和播放特征，肢体会自我调整当前的步行情况（水平，斜坡和楼梯），以优化用户的系统性能。在步行循环中，人造肢体将在挥杆阶段传递能量到步行运动以收获能量之间切换；延长电池电量并减轻电池的负担。该项目的目的是通过围绕以下活动构建的研究计划来设计和开发新的智能下肢假体。 1）使用车身轮毂传感器实时测量步态动力学； 2）使用假体的使用与人肢相连的综合传感器在假体使用过程中测量反应载荷； 3）估计用户意图的估计以及对假体的触觉或其他形式反馈的潜力的评估，以增强其可用性； 4）通过动态耦合和能量产生优化能源使用； 5）改善与长期磨损相关的肢体舒适性。研究结果将是考虑人机动态相互作用的技术和流动性的一步变化。研究结果将解决与截肢者恢复流动性有关的许多医疗保健挑战，并为设备设计和开发的新方向铺平了道路，以支持衰老的人口中的流动性和诸如中风患者康复的应用。世界第三大假肢制造是在英国，这项研究将通过提供商业化的增强机会来提高全球英国职位的发展。

项目成果

Impact of a viscoelastic parameters of a prosthetic ankle on the knee power over level ground walking

假肢踝关节粘弹性参数对平地行走膝关节力量的影响

• 发表时间: 2015
• 作者: A. Abouhossein

Gait abnormalities of above knee amputees, is it a design deficiency or compensatory strategy?

膝上截肢者步态异常，是设计缺陷还是补偿策略？

• 发表时间: 2016
• 作者: Abouhossein A

Controller design for a Semi-Active Transfemoral Prosthetic Knee based on Angular Velocity Monitoring

基于角速度监测的半主动股骨假肢膝关节控制器设计

• 发表时间: 2015
• 作者: A. Abouhossin

Towards Autonomous Robotic Systems - 16th Annual Conference, TAROS 2015, Liverpool, UK, September 8-10, 2015, Proceedings

迈向自主机器人系统 - 第 16 届年会，TAROS 2015，英国利物浦，2015 年 9 月 8-10 日，会议记录

• DOI: 10.1007/978-3-319-22416-9_4
• 发表时间: 2015
• 作者: Antuña L

Converging Clinical and Engineering Research on Neurorehabilitation II

神经康复临床与工程研究的融合 II

• DOI: 10.1007/978-3-319-46669-9_60
• 发表时间: 2017
• 作者: Huang H