Sonomyographic Upper Limb Prosthetics: A New Paradigm

超声波上肢假肢：一种新范式

基本信息

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
项目类别：
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

项目摘要

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，绝大多数与创伤相关的截肢都涉及上肢。大约一半的人最终接受了上肢肌电假肢放弃使用该系统，主要是因为其功能有限，因此，仍然存在这种需要。显着改进假肢控制策略。该生物工程研究计划的目标是开发原型并进行临床评估假肢控制系统使用成像技术来感知残余肌肉活动，而不是肌电图。这种新颖的方法可以更好地区分前臂肌肉的不同功能区，并提供与肌肉活动成比例的稳健控制信号。有潜力显着改善上肢假肢的功能，并提供灵巧的直觉与当前最先进的非侵入性控制方法相比，这是一个显着的改进。跨学科项目汇集了乔治梅森大学的研究人员和商业合作伙伴无限生物医学技术以及 MedStar 国家康复医院和 Hanger 诊所的新人。具体目标 1：开发和测试紧凑的研究级超声检查假肢系统我们将开发和评估用于超声检查的紧凑型低功耗嵌入式系统，并对其进行优化。并实现多自由度 (DOF) 实时分类和控制算法。然后将超声成像换能器集成到测试假肢接受腔中，以对患有以下疾病的个体进行测试我们将在实验室环境中完成系统集成、测试和评估。超声信号质量随着手臂位置和插座负载的变化而变化。具体目标 2：评估超声控制与肌电控制的性能我们将比较 SMG 与肌电直接控制以及肌电模式切换的性能将使用虚拟现实菲茨定律任务对接受经桡动脉截肢的幼稚受试者进行评估。以及使用终端设备的临床结果测量主要结果测量将是 SHAP 和次要结果衡量标准是衣夹重新定位任务，我们将评估直观性。使用凝视跟踪进行控制，并研究运动质量我们还将比较性能。 SMG 与肌电模式识别（比例控制）在受过训练的受试者中进行比较商业公关系统使用相同的结果衡量标准。该项目的成功完成将首次对集成原型进行人类评估使用低功耗便携式成像传感器和实时图像分析来感知残余肌肉活动从长远来看，我们预计假肢控制的功能和直观性会得到改善。控制将提高截肢者的接受度。