Toward an Animal Model of Freely Moving Humans

建立自由移动的人类动物模型

• 批准号: 8073326
• 负责人: Krishna V Shenoy
• 金额: $ 87.69万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8073326
• 关键词: Address; Adopted; Algorithms; Amputation; Amputees; Animal Model; Area; Arts; Base of the Brain; Behavior; Brain; Bypass; Cochlear Implants; Communication; Computers; Data; Disabled Persons; Disease; Electrodes; Electroencephalography; Epilepsy; Fingers; Freedom; Frequencies; Future; Goals; Grant; Hand; Hearing; Human; Implant; Injury; Limb structure; Measurement; Medical Electronics; Mind; Motor; Movement; Nervous System Trauma; Neuraxis; Neurology; Neurosciences; Operative Surgical Procedures; Paralysed; Parkinsonian Disorders; Patients; Performance; Peripheral Nervous System; Physics; Prosthesis; Quality of life; Research; Risk; Robotics; Self-Help Devices; Sensory; Series; Signal Transduction; Site; Solid; Source; Speed; Spinal cord injury; Spottings; System; Techniques; Time; Tissues; Translating; Tremor; Utah; Work; abstracting; arm; base; brain machine interface; deep brain stimulator; design; disability; effective therapy; feeding; grasp; improved; joint mobilization; mind control; neural prosthesis; neurosurgery; nonhuman primate; relating to nervous system; repaired; research clinical testing; research study

DESCRIPTION (provided by applicant): Hundreds of thousands of people suffer from neurological injuries and disease, resulting in the permanent loss of motor function. Effective treatments do not currently exist for many of these conditions. Neural prosthetic systems have filled several of these treatment gaps, but many still remain. One promising class of neural prosthetic system aims to provide direct brain control of prosthetic arms. These motor prostheses translate neural activity from the brain into control signals to guide the prosthetic arm, working through a so-called "decode algorithm". We believe that the time is right to investigate how a potentially high-performance and high-robustness brain control signal (human ECoG) can work through a new class of decode algorithm, and control a state-of-the-art high degree of freedom prosthetic arm (DARPA arm). To investigate this possibility, with the aim of demonstrating very high performance and high robustness control of a high dexterity arm within two years, our Specific Aims (SAs) are as follows. SA1: we will seek to demonstrate modulation of human ECoG signals during a systematic set of reaching, grasping, and finger movement tasks. SA2: we will use human ECoG signals for the closed-loop control of discrete, sequential joint movements. SA3: we will use human ECoG signals for closed-loop, smooth, high-speed control of the arm, hand, and ultimately even individuated finger movements. PUBLIC HEALTH RELEVANCE: Hundreds of thousands of people in the US alone suffer from neurological injuries and disease, resulting in the permanent loss of motor function or even the ability to communicate. Conditions include upper spinal cord injury, ALS, and amputation. Our proposed research aims to dramatically increase the performance of neurally-controlled (ECoG controlled) prosthetic devices, specifically the recently designed DARPA Arm (from the Applied Physics Lab), with the goal of improving the quality of life for these patients.

描述（由申请人提供）：数十万人患有神经损伤和疾病，导致运动功能永久丧失。目前，对于这些疾病中的许多疾病还不存在有效的治疗方法。神经假体系统已经填补了其中的一些治疗空白，但仍有许多仍然存在。一类很有前途的神经假肢系统旨在为假肢提供直接的大脑控制。这些运动假肢将大脑的神经活动转化为控制信号，通过所谓的“解码算法”来指导假肢。我们认为，现在是时候研究潜在的高性能和高鲁棒性的大脑控制信号（人类ECoG）如何通过一类新的解码算法工作，并控制最先进的高自由度假肢（DARPA手臂）。为了研究这种可能性，目的是在两年内展示高灵活性手臂的非常高的性能和高鲁棒性控制，我们的具体目标（SA）如下。SA1：我们将试图证明人类ECoG信号的调制在一组系统的达到，抓取和手指运动任务。SA2：我们将使用人类ECoG信号进行离散的、顺序的关节运动的闭环控制。SA3：我们将使用人类ECoG信号对手臂、手进行闭环、平滑、高速控制，最终甚至是个性化的手指运动。 公共卫生关系：仅在美国就有数十万人患有神经损伤和疾病，导致运动功能甚至沟通能力的永久丧失。条件包括上脊髓损伤，ALS和截肢。我们提出的研究旨在大幅提高神经控制（ECoG控制）假体设备的性能，特别是最近设计的DARPA手臂（来自应用物理实验室），目的是提高这些患者的生活质量。