NCS-FO: Functional and neural mechanisms of integrating multiple artificial somatosensory feedback signals in prosthesis control

NCS-FO：在假肢控制中集成多个人工体感反馈信号的功能和神经机制

基本信息

批准号：
2123678
负责人：
Xiaogang Hu
金额：
$ 30万
依托单位：
University of North Carolina at Chapel Hill
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-01 至 2023-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2123678&HistoricalAwards=false
关键词：
NCS FO Functional neural mechanisms

项目摘要

After a limb amputation, both motor and sensory functions associated with the limb are lost. Substantial effort has been devoted to restore lost motor functions. In contrast, there has been less advancement in restoring sensory function. Although earlier works have used sensory substitution or nerve stimulation techniques to elicit a single type of artificial sensation, there is limited understanding of how the human brain integrates different sources of artificial sensation, when multiple sensory stimulations are provided. This project will help understand the integration principles of different artificially evoked sensations of joint movements. By identifying key factors that determine the integration principle of multiple sources of artificial sensation, this project can generate potentially transformative outcomes for human-robot interactions, specifically developing brain-inspired sensory stimulation strategies that can enable intuitive interactions of assistive devices. The project will provide educational opportunities. Different project components will be integrated into existing undergraduate courses. Summer projects incorporating the sensory stimulation techniques will be offered to local school and community college students. Outreach programs associated with the research outcomes will be developed targeting underrepresented students. The goal of this project is to understand the integration principles of different artificially evoked proprioceptive feedback. The research team will combine psychophysical testing, behavioral modeling, and brain signal recordings to understand the integration principle of artificial sensory signals. Proprioceptive feedback of the joint kinematics will be evoked using vibrotactile stimulation and peripheral nerve stimulation. Both upper and lower limbs will be investigated to evaluate whether the integration principle is task or end-effector dependent. The research team will use a Bayesian integration model and electroencephalogram (EEG) recordings to quantify how uncertainty and intuitiveness-associated attentional bias of artificial feedback impact sensory integration. The project outcomes will provide a theoretical basis for developing artificial sensory feedback for intuitive human-robot interactions, and will also provide a research platform for studying sensory perception. This project is funded by Integrative Strategies for Understanding Neural and Cognitive Systems (NCS), a multidisciplinary program jointly supported by the Directorates for Biology (BIO), Computer and Information Science and Engineering (CISE), Education and Human Resources (EHR), Engineering (ENG), and Social, Behavioral, and Economic Sciences (SBE).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

肢体截肢后，与肢体相关的电动机和感觉函数都会丢失。大量努力已致力于恢复损失的运动功能。相反，恢复感觉函数的进步较少。尽管较早的作品已经使用了感觉替代或神经刺激技术来引起一种人造感觉，但是当提供多种感觉刺激时，人们对人大脑如何整合人造感觉的不同来源的理解有限。该项目将有助于了解联合运动的不同人工唤起感觉的整合原理。通过确定确定人工感觉多种源的整合原理的关键因素，该项目可以为人类机器人相互作用产生潜在的变化结果，特别是开发了大脑启发的感觉刺激策略，可以实现辅助设备的直觉相互作用。该项目将提供教育机会。不同的项目组件将集成到现有的本科课程中。结合感官刺激技术的夏季项目将提供给当地的学校和社区大学生。与研究成果相关的外展计划将是针对代表性不足的学生的。该项目的目的是了解不同人工诱发的本体感知反馈的整合原则。研究团队将结合心理物理测试，行为建模和大脑信号记录，以了解人工感觉信号的整合原理。连接运动学的本体感受反馈将使用纤维状刺激和周围神经刺激诱发。将研究上肢和下肢，以评估整合原理是任务还是最终效应器依赖性。研究团队将使用贝叶斯集成模型和脑电图（EEG）记录来量化人工反馈影响感官融合的不确定性和与直觉相关的注意力偏见。该项目的结果将为为直观的人类机器人相互作用开发人工感觉反馈提供理论基础，还将为研究感觉知觉提供研究平台。该项目由理解神经和认知系统（NCS）的综合策略资助，神经和认知系统（一项多学科计划，由生物学局（BIIO），计算机和信息科学与工程（CISE），教育与人力资源（EHR），工程和工程（ENG），社会，行为，行为以及经济科学（SBE）的批准。利用基金会的知识分子和更广泛的影响审查标准。