Hands-free Control of an Assistive Robotic Arm for High Level Paralysis

用于高度瘫痪的辅助机械臂的免提控制

• 批准号: 10741948
• 负责人: ANDREW J FUGLEVAND
• 金额: $ 14.66万
• 依托单位: UNIVERSITY OF ARIZONA
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2025-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10741948
• 关键词: 3-Dimensional; Activities of Daily Living; Affect; Attention; Awareness; Bathing; Beds; Benchmarking; Brain; Cervical; Complex; Computers; Data; Dedications; Development; Devices; Eating; Environment; Evaluation; Face; Facial Expression; Facial Muscles; Future; Gases; Goals; Hand; Head; Head Movements; Health; Hygiene; Implanted Electrodes; Individual; Intuition; Investigation; Joystick; Left; Lesion; Lifting; Limb structure; Location; Lower Extremity; Maps; Methods; Modality; Movement; Mus; Operative Surgical Procedures; Paralysed; Patients; Performance; Personal Satisfaction; Personal Space; Positioning Attribute; Procedures; Psyche structure; Publications; Quadriplegia; Risk; Robot; Robotics; Scheme; Self-Help Devices; Side; Signal Transduction; Spinal cord injury; Standardization; Sterile coverings; System; Technology; Testing; Thinking; Tongue; Training; Upper Extremity; Voice; Well in self; Wheelchairs; Work; arm; assistive robot; brain machine interface; cost; efficacy evaluation; feeding; grasp; improved; input device; neural; robot control; robotic device

PROJECT SUMMARY/ABSTRACT Simple tasks such as using a computer, feeding oneself, personal hygiene, and grabbing objects are impossible for high level tetraplegics without assistance. Remarkable advances in brain-machine interfaces (BMIs) in the past 20 years, however, have demonstrated that paralyzed individuals can exert good control over assistive robotic devices derived from neural recordings using electrodes implanted in the brain. Despite the promise of such BMIs, there nevertheless remain significant shortcomings, including 1) the duration over which neural recordings remain viable is limited to a couple of years, and 2) the procedure requires invasive surgery associated with substantial risks and costs. Most individuals with high level paralysis, however, retain the ability to voluntarily move their head and tongue, activate facial muscles, and can speak. It seems reasonable to hypothesize, therefore, that signals derived from these actions could be used to control movements of a robotic arm accurately and intuitively. The main goal of this project, therefore, is to evaluate the utility of non-invasive methods to supply the inputs needed to control movements of a robotic limb to perform a variety of tasks. Toward this goal, we will carry out three specific aims: 1) evaluate control types (position and velocity) and input modalities (head, face/head EMG, tongue, voice) for regulating robotic arm position, 2) assess various methods to control robot arm grasping, 3) characterize improvements in robotic arm control performing standardized real-world tasks with practice. Importantly, data collected here using non- invasive methods during standardized tasks will provide a crucial benchmark needed for evaluation of, and justification for using BMIs developed in the future. Moreover, this project will provide a major advance toward the development of non-invasive and readily controlled assistive robotic arms that could greatly increase the independence and well-being of individuals stricken with high-level paralysis.

项目总结/文摘