Simultaneous Pattern Recognition Control of Powered Upper Limb Prostheses

动力上肢假肢的同步模式识别控制

• 批准号: 9345731
• 负责人: Blair Lock
• 金额: $ 46.92万
• 依托单位: COAPT, LLC
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-12-07 至 2019-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9345731
• 关键词: Adopted; Agonist; Algorithms; Amputees; Artificial Arm; Clinical; Computer software; Cross-Over Studies; Data; Development; Devices; FDA approved; Freedom; Future; Generations; Goals; Home environment; Individual; Institutional Review Boards; Intuition; Limb Prosthesis; Limb structure; Literature; Manufacturer Name; Movement; Muscle; Myoelectric prosthesis; Notification; Outcome; Participant; Pattern Recognition; Pattern Recognition Systems; Performance; Persons; Phase; Population; Posture; Procedures; Process; Prosthesis; Public Health; Quality of life; Questionnaires; Randomized; Research; Signal Transduction; Site; Small Business Innovation Research Grant; System; Technology; Testing; Time; Update; Upper Extremity; Voice; Work; arm; clinical application; disability; expectation; experimental study; improved; limb amputation; myoelectric control; new technology; next generation; patient population; powered prosthesis; prosthesis control; psychologic; reinnervation; research and development; social; standard of care; trend; usability; virtual; virtual reality; week trial

Project Summary/Abstract Upper limb amputation is a significant cause of disability that drastically limits an individual's functional capabilities and can also have profound psychological and social effects. Although prosthetic devices are currently the best treatment option for upper limb amputation, even the most technologically advanced prosthetic arms fail to adequately restore the functional capabilities of the lost arm. Myoelectric prosthesis control using pattern recognition was first introduced to the commercial market by Coapt, LLC in late 2013. It provides more natural and intuitive control and eliminates the need for mode switching and the requirement for strong and isolated EMG signals from agonist/antagonist muscle sites. However, the current system is limited to providing control of only one prosthesis movement at a time. The need for simultaneous control of multiple movements has been long cited in the literature and is often voiced by clinicians in the field. The proposed project is to finalize and implement a simultaneous control algorithm in Coapt, LLC's next-generation commercial pattern recognition controller. The long-term goal of this application is to advance the field of upper-limb prosthetics by providing a state-of-the-art control system with unprecedented functionality and ease of use. The specific aims of the proposal are to (1) implement the recently developed simultaneous control algorithm on Coapt's next-generation commercial controller and (2) evaluate the simultaneous control algorithm in a home trial. Under the first aim, the simultaneous control algorithm will be incorporated into the next-generation system's firmware and user interface software and then optimized to minimize processing time. If necessary, hardware updates will be made to accommodate the increased processing load, and the resulting system will be fully tested and validated. Under the second aim, an IRB-approved randomized crossover study will be performed. Participants will use the system with and without simultaneous control capabilities at home for two 8-week trial periods and will perform virtual control tasks and complete a questionnaire at the end of each trial period. The system will also collect usage data during each trial. All data will be analyzed to determine wear-time under each control strategy, preferred control strategy, and frequently selected simultaneous movements. This proposed work is fully expected to result in a commercial product, including the FDA premarket notification process, within a short time of project completion.

项目总结/摘要 上肢截肢是残疾的一个重要原因，严重限制了个人的功能能力， 也有深刻的心理和社会影响。虽然假体装置是目前最好的治疗选择， 上肢截肢，即使是技术最先进的假肢也不能充分恢复功能。 失去的手臂的力量 使用模式识别的肌电假肢控制最早是由Coapt，LLC在2004年12月引入商业市场的。 2013.它提供了更自然和直观的控制，并消除了模式切换的需要， 来自激动剂/拮抗剂肌肉部位的强且孤立的EMG信号。然而，目前的系统仅限于提供 一次只能控制一个假体运动。需要同时控制多个运动的时间已经很长了 在文献中被引用，并且经常由该领域的临床医生表达。 拟议的项目是完成和实施的同时控制算法在Coapt，有限责任公司的下一代 商业模式识别控制器。该应用的长期目标是推动上肢领域的发展 通过提供具有前所未有的功能性和易用性的最先进的控制系统，具体目标 的建议是（1）实施最近开发的同步控制算法的Coapt的下一代 商业控制器和（2）在家庭试验中评估同时控制算法。在第一个目标下， 同步控制算法将被纳入下一代系统的固件和用户界面软件 然后优化以最小化处理时间。如有必要，将进行硬件更新，以适应增加的 处理负载，并将对由此产生的系统进行全面测试和验证。在第二个目标下，IRB批准的 将进行随机交叉研究。参与者将在同时控制和不同时控制的情况下使用该系统 能力在家里进行两个为期8周的试验期，并将执行虚拟控制任务，并在结束时完成问卷调查 每一个审判阶段。该系统还将在每次试验期间收集使用数据。将分析所有数据以确定磨损时间 在每个控制策略下，优选的控制策略，以及频繁选择的同时运动。这项拟议的工作 完全有望在短时间内形成商业产品，包括FDA上市前通知流程， 项目完成。