Sonomyographic Upper Limb Prosthetics: A New Paradigm

超声波上肢假肢：一种新范式

• 批准号: 10375604
• 负责人: Rahul Reddy Kaliki
• 金额: $ 65.03万
• 依托单位: GEORGE MASON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-02-01 至 2025-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10375604
• 关键词: Activities of Daily Living; Address; Adult; Affect; Age; Algorithms; Amputation; Amputees; Biomedical Engineering; Biomedical Technology; Classification; Clinic; Clinical; Clinical Research; Complex; Data; Development; Devices; Diagnostic; Electrodes; Electromyography; Evaluation; Extensor; Flexor; Forearm; Freedom; Hospitals; Image; Image Analysis; Implant; Individual; Intention; Intuition; Investments; Joints; Laboratories; Laboratory Study; Laws; Limb Prosthesis; Limb structure; Mechanics; Methods; Motor; Movement; Muscle; Myoelectric prosthesis; Outcome; Outcome Measure; Pattern Recognition; Pattern Recognition Systems; Performance; Positioning Attribute; Prosthesis; Public Health; Rehabilitation therapy; Research; Research Personnel; Residual state; Resolution; Resources; Signal Transduction; Specificity; Spectrometry; Surface; System; Systems Integration; Technology; Testing; Time; Training; Transducers; Trauma; Ultrasonography; United States; Universities; Upper Extremity; Volition; arm; base; clinical outcome measures; first-in-human; gaze; grasp; imaging modality; improved; improved functioning; innovation; instrumentation; limb loss; motor control; multidisciplinary; muscle reinnervation; myoelectric control; non-invasive system; novel; novel strategies; portability; primary outcome; programs; prosthesis control; prosthetic hand; prosthetic socket; prototype; real-time images; secondary outcome; sensor; spatiotemporal; transradial amputee; ultrasound; usability; virtual environment; virtual reality

The vast majority of all trauma-related amputations in the United States involve the upper limbs. Approximately half of those individuals who receive an upper extremity myoelectric prosthesis eventually abandon use of the system, primarily because of their limited functionality. Thus, there continues to be a need for a significant improvement in prosthetic control strategies. The objective of this bioengineering research program is to develop and clinically evaluate a prototype prosthetic control system that uses imaging to sense residual muscle activity, rather than electromyography. This novel approach can better distinguish between different functional compartments in the forearm muscles, and provide robust control signals that are proportional to muscle activity. This improved sensing strategy has the potential to significantly improve functionality of upper extremity prostheses, and provide dexterous intuitive control that is a significant improvement over current state of the art noninvasive control methods. This interdisciplinary project brings together investigators at George Mason University, commercial partners at Infinite Biomedical Technologies and clinicians at MedStar National Rehabilitation Hospital and Hanger Clinic. Specific Aim 1: To develop and test a compact research-grade sonomyographic prosthetic system We will develop and evaluate a compact low-power embedded system for sonomyography. We will optimize and implement algorithms for real-time classification and control with multiple degrees of freedom (DOF). We will then integrate ultrasound imaging transducers within test prosthetic sockets for testing on individuals with transradial limb loss in a laboratory setting. We will complete system integration and testing and evaluate the sonomyographic signal quality with changes in arm position and socket loading. Specific Aim 2: To evaluate performance of sonomyographic control compared to myoelectric control We will compare the performance of SMG vs myoelectric direct control with mode switching in myoelectric- naïve subjects with transradial amputation. Assessment will be performed using a virtual reality Fitts’ law task as well as clinical outcome measures using a terminal device. The primary outcome measure will be the SHAP and secondary outcome measure will be the Clothespin Relocation Task. We will assess intuitiveness of control using gaze tracking, and also study quality of movement. We will also compare the performance of SMG vs myoelectric pattern recognition with proportional control in subjects who have been trained on a commercial PR system using the same outcome measures. The successful completion of this project will lead to the first in human evaluation of an integrated prototype that uses low-power portable imaging sensors and real-time image analysis to sense residual muscle activity for prosthetic control. In the long term, we anticipate that the improvements in functionality and intuitiveness of control will increase acceptance by amputees.

在美国，绝大多数与创伤有关的截肢涉及上肢。 接受上肢肌电假肢的患者中， 放弃使用该系统，主要是因为其功能有限。因此，仍然需要 对于假肢控制策略的重大改进。 这个生物工程研究项目的目标是开发和临床评估一个原型， 假肢控制系统，使用成像来感知剩余肌肉活动，而不是肌电图。 这种新的方法可以更好地区分前臂肌肉中不同的功能区， 并提供与肌肉活动成比例的鲁棒控制信号。这种改进的传感策略具有 具有显著改善上肢假体功能并提供灵巧直观 这是对现有技术的非侵入性控制方法的显著改进。这 跨学科项目汇集了乔治梅森大学的研究人员， 无限生物医学技术和临床医生在MedStar国家康复医院和衣架诊所。 具体目标1：开发和测试紧凑的研究级声肌描记假体系统 我们将开发和评估一个紧凑的低功耗嵌入式系统的声肌。我们将优化 并实现多自由度（DOF）的实时分类和控制算法。我们 然后将超声成像换能器集成在测试假肢接受腔中，用于对患有以下疾病的个体进行测试： 在实验室环境中的经桡动脉肢体缺失。我们将完成系统集成和测试，并评估 声肌图信号质量随手臂位置和关节窝负荷的变化。 具体目标2：评价声肌描记控制与肌电控制相比的性能 我们将比较SMG与肌电直接控制与肌电模式切换的性能。 接受经桡动脉截肢的初治受试者。将使用虚拟现实Fitts定律任务进行评估 以及使用终端设备的临床结果测量。主要结局指标将是 SHAP和次要结局指标将是衣夹重新定位任务。我们将评估直觉 以及研究运动的质量。我们还将比较 SMG与比例控制的肌电模式识别在接受过 商业公关系统使用相同的结果措施。 该项目的成功完成将导致第一次在人类评估的综合原型 它使用低功率便携式成像传感器和实时图像分析来感知残余肌肉活动， 用于假肢控制。从长远来看，我们预计， 控制将增加截肢者的接受度。