Sonomyographic Upper Limb Prosthetics: A New Paradigm

超声波上肢假肢：一种新范式

• 批准号: 9887414
• 负责人: Rahul Reddy Kaliki
• 金额: $ 75.96万
• 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/9887414
• 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; first-in-human; gaze; grasp; imaging modality; improved; improved functioning; innovation; instrumentation; motor control; multidisciplinary; myoelectric control; non-invasive system; novel; novel strategies; portability; primary outcome; programs; prosthesis control; prosthetic hand; prosthetic socket; prototype; real-time images; reinnervation; secondary outcome; sensor; spatiotemporal; transradial amputee; usability; virtual environment; virtual reality; 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; first-in-human; gaze; grasp; imaging modality; improved; improved functioning; innovation; instrumentation; motor control; multidisciplinary; myoelectric control; non-invasive system; novel; novel strategies; portability; primary outcome; programs; prosthesis control; prosthetic hand; prosthetic socket; prototype; real-time images; reinnervation; secondary outcome; sensor; spatiotemporal; transradial amputee; 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，所有与创伤相关的截肢的绝大多数都涉及上肢。 大约有一半的人最终获得上肢肌电假体 放弃系统的使用，主要是因为它们的功能有限。那仍然需要 为了显着改善假体控制策略。 该生物工程研究计划的目的是开发和临床评估原型 假体控制系统，该系统使用成像来感知残留的肌肉活动，而不是肌电图。 这种新颖的方法可以更好地区分前臂肌肉中的不同功能隔室， 并提供与肌肉活动成正比的稳健控制信号。这种改进的感应策略具有 显着改善上肢假体功能并提供灵巧直觉的潜力 控制与当前状态无创方法的当前状态有重大改进。这 跨学科项目汇集了乔治·梅森大学的调查员，商业合作伙伴 Medstar国家康复医院和衣架诊所的无限生物医学技术和临床医生。 特定目的1：开发和测试紧凑的研究级躯体学假肢系统 我们将开发和评估一个紧凑的低功率嵌入式系统以进行弹性摄影。我们将优化 并实施多个自由度（DOF）的实时分类和控制算法。我们 然后将在测试假体插座中集成超声成像传感器，以对患有 实验室环境中的跨肢体损失。我们将完成系统集成和测试，并评估 具有臂位置和插座负荷的变化的声学信号质量。 特定目的2：评估与肌电控制相比的Sononographic Control的性能 我们将比较SMG与Myoelectric Direct Control的性能与Myoelectric-中的模式切换 幼稚的受试者具有跨性别的截肢。评估将使用虚拟现实FITTS的法律任务进行 以及使用终端装置进行临床结果度量。主要结果措施将是 Shap和次要结局度量将是衣夹重新定位任务。我们将评估直觉 使用凝视跟踪以及研究运动质量的控制。我们还将比较 SMG与肌电模式识别，并在受过培训的受试者中具有比例控制 商业公关系统采用相同的结果度量。 该项目的成功完成将导致对整体原型评估的第一个评估 使用低功率便携式成像传感器和实时图像分析来感知残留的肌肉活动 用于假肢。从长远来看，我们预计功能和直觉的改善 控制将增加截肢者的接受。