NRI: Towards Restoring Natural Sensation of Hand Amputees via Wearable Surface Grid Electrodes
NRI:通过可穿戴表面网格电极恢复截肢者的自然感觉
基本信息
- 批准号:1637892
- 负责人:
- 金额:$ 100万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-01 至 2020-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Hand amputation can severely limit the quality of life, for example by making it impossible to sense and manipulate objects, or to express gestures. Many robotic prosthetic hands have been developed to date, some of which have dexterity approaching that of a human hand, but a key factor limiting acceptance of these devices is the lack of natural and reliable sensory feedback to the user; the substitution of un-natural stimuli such as skin vibration, visual or audio cues doesn't really cut it. The PI's goal in this research is to explore the use of non-invasive grid electrodes for electrically stimulating the peripheral sensory nerves so they transmit natural (high resolution) haptic sensations to the central nervous system. Success of this project will revolutionize the way in which human beings communicate with robotic prostheses and transform research in close-loop prosthesis control, shifting amputee haptic sensation feedback from invasive implant techniques to non-invasive surface probing techniques. The non-invasive nature of the new technology presents the potential for rapid clinical translations with high functional efficiency and user acceptance. Thus, the research will lead to dramatic improvements in hand amputees' quality of life. In addition, the work will be integrated into graduate and undergraduate student education at the PI's institution, and outreach programs for K-12 students (especially underrepresented STEM students) will expose them to this innovative science.This highly creative project adopts an approach that is completely different from the existing techniques for providing sensory restoration/augmentation, and which is supported by the team's preliminary studies. First, the investigators will design a novel, non-invasive nanowire sensor array that will provide natural sensation of the missing hand. The thin-film electrode grid will be self-adhesive and highly stretchable. The multifunctional electrodes will be able not only to provide targeted nerve stimulation but also to record pressures applied on the prosthetic hand, so they can both obtain a rich set of haptic information and also deliver this information to the user accurately and precisely, while inducing minimal interference such as skin discomfort, added weight due to the device, and control signal interference. Second, the team will create a new way of affording sensory restoration by developing a dynamic stimulation scheme that encodes spatially distinct haptic sensations in the digits and palm. This will be achieved by selectively recruiting the various afferent fibers innervating different regions of the hand. The investigators believe that with high spatial resolution based on hand region mapping, the haptic feedback could for the first time enable users to truly perceive the environment by "using" their lost hand, and thereby push the sense of embodiment to a new level. Lastly, new knowledge will be obtained by quantifying the effect of the sensorimotor integration process on closed-loop control of a dexterous prosthetic hand in amputees.
手部截肢会严重限制生活质量,例如无法感知和操纵物体或表达手势。 迄今为止,已经开发了许多机器人假手,其中一些具有接近人手的灵活性,但限制接受这些装置的一个关键因素是缺乏对用户的自然和可靠的感觉反馈;非自然刺激如皮肤振动的替代,视觉或听觉提示并不能真正解决问题。PI在这项研究中的目标是探索使用非侵入性网格电极来电刺激外周感觉神经,使它们自然地传递信息。(高分辨率)触觉感觉到中枢神经系统。 该项目的成功将彻底改变人类与机器人假肢的沟通方式,并改变闭环假肢控制的研究,将截肢者的触觉反馈从侵入性植入技术转移到非侵入性表面探测技术。 新技术的非侵入性特性为快速临床翻译提供了潜力,具有高功能效率和用户接受度。 因此,这项研究将大大改善手部截肢者的生活质量。 此外,该项目还将融入PI所在机构的研究生和本科生教育,并为K-12学生(特别是未被充分代表的STEM学生)提供拓展计划,让他们接触到这一创新科学。这一极具创造性的项目采用了与现有感官恢复/增强技术完全不同的方法,并得到了团队初步研究的支持。 首先,研究人员将设计一种新型的非侵入性纳米线传感器阵列,它将提供对缺失手的自然感觉。 薄膜电极网格将是自粘性的并且高度可拉伸。 多功能电极不仅能够提供有针对性的神经刺激,还能够记录施加在假手上的压力,因此它们既可以获得丰富的触觉信息,也可以准确和精确地将这些信息传递给用户,同时引起最小的干扰,例如皮肤不适,由于设备增加的重量和控制信号干扰。 其次,该团队将通过开发一种动态刺激方案来创造一种提供感官恢复的新方法,该方案对手指和手掌中空间上不同的触觉进行编码。 这将通过选择性地募集支配手的不同区域的各种传入纤维来实现。 研究人员认为,通过基于手部区域映射的高空间分辨率,触觉反馈可以首次使用户能够通过“使用”他们失去的手来真正感知环境,从而将体现感推向一个新的水平。 最后,新的知识将通过量化的感觉运动整合过程中的闭环控制的截肢者的灵巧的假肢手的效果。
项目成果
期刊论文数量(14)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Interference Removal From Electromyography Based on Independent Component Analysis
- DOI:10.1109/tnsre.2019.2910387
- 发表时间:2019-04
- 期刊:
- 影响因子:4.9
- 作者:Yang Zheng;Xiaogang Hu
- 通讯作者:Yang Zheng;Xiaogang Hu
Merged Haptic Sensation in the Hand during Concurrent Non-Invasive Proximal Nerve Stimulation
- DOI:10.1109/embc.2018.8512707
- 发表时间:2018-07
- 期刊:
- 影响因子:0
- 作者:Luis Vargas;H. Huang;Yong Zhu;Xiaogang Hu
- 通讯作者:Luis Vargas;H. Huang;Yong Zhu;Xiaogang Hu
Comparing EMG-Based Human-Machine Interfaces for Estimating Continuous, Coordinated Movements
- DOI:10.1109/tnsre.2019.2937929
- 发表时间:2019-10-01
- 期刊:
- 影响因子:4.9
- 作者:Pan, Lizhi;Crouch, Dustin L.;Huang, He
- 通讯作者:Huang, He
Object stiffness recognition using haptic feedback delivered through transcutaneous proximal nerve stimulation
使用通过经皮近端神经刺激传递的触觉反馈进行物体刚度识别
- DOI:10.1088/1741-2552/ab4d99
- 发表时间:2020
- 期刊:
- 影响因子:4
- 作者:Vargas, Luis;Shin, Henry;Huang, He;Zhu, Yong;Hu, Xiaogang
- 通讯作者:Hu, Xiaogang
Tailoring the Temperature Coefficient of Resistance of Silver Nanowire Nanocomposites and their Application as Stretchable Temperature Sensors
- DOI:10.1021/acsami.9b04045
- 发表时间:2019-05-15
- 期刊:
- 影响因子:9.5
- 作者:Cui, Zheng;Poblete, Felipe Robles;Zhu, Yong
- 通讯作者:Zhu, Yong
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Xiaogang Hu其他文献
CLINICAL TRIAL OF LIVE MEASLES VACCINE GIVEN ALONE AND LIVE VACCINE PRECEDED BY KILLED VACCINE Fourth report to the Medical Research Council by the Measles Sub-Committee of the Committee on Development of Vaccines and Immunisation Procedures
单独接种麻疹活疫苗和先接种灭活疫苗的活疫苗的临床试验 疫苗和免疫程序开发委员会麻疹小组委员会向医学研究理事会提交的第四次报告
- DOI:
10.1016/s0140-6736(77)91426-x - 发表时间:
1977 - 期刊:
- 影响因子:0
- 作者:
Xiaogang Hu;Runfang Kang;Ling Chen;Xiaopeng Hu - 通讯作者:
Xiaopeng Hu
Time gain influences adaptive visual-motor isometric force control
时间增益影响自适应视觉运动等长力控制
- DOI:
- 发表时间:
2012 - 期刊:
- 影响因子:2
- 作者:
Xiaogang Hu;Molly M. Mazich;K. Newell - 通讯作者:
K. Newell
Muscle Fatigue Post-stroke Elicited From Kilohertz-Frequency Subthreshold Nerve Stimulation
千赫兹频率阈下神经刺激引起的中风后肌肉疲劳
- DOI:
10.3389/fneur.2018.01061 - 发表时间:
2018 - 期刊:
- 影响因子:3.4
- 作者:
Yang Zheng;Henry Shin;Xiaogang Hu - 通讯作者:
Xiaogang Hu
Preparation and Characterization of Prometryn Molecularly Imprinted Solid‐Phase Microextraction Fibers
扑草净分子印迹固相微萃取纤维的制备及表征
- DOI:
10.1080/00032710600966127 - 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
Xiaogang Hu;Yuling Hu;Gongke Li - 通讯作者:
Gongke Li
Power spectral analysis of surface EMG in stroke: A preliminary study
中风表面肌电图的功率谱分析:初步研究
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
S. Srivatsan;Xiaogang Hu;Brian Jeon;Aneesha K. Suresh;W. Rymer;N. Suresh - 通讯作者:
N. Suresh
Xiaogang Hu的其他文献
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{{ truncateString('Xiaogang Hu', 18)}}的其他基金
NSF-FR: Bidirectional Neural-Machine Interface for Closed-Loop Control of Prostheses
NSF-FR:用于假肢闭环控制的双向神经机器接口
- 批准号:
2319139 - 财政年份:2023
- 资助金额:
$ 100万 - 项目类别:
Continuing Grant
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
- 批准号:
2327217 - 财政年份:2023
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
HCC: Medium: A novel neural interface for user-driven control of rehabilitation of finger individuation
HCC:中:一种新颖的神经接口,用于用户驱动的手指个性化康复控制
- 批准号:
2330862 - 财政年份:2022
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
CAREER: Robust Decoding of Neural Command for Real Time Human Machine Interactions
职业:实时人机交互的神经命令的鲁棒解码
- 批准号:
2246162 - 财政年份:2022
- 资助金额:
$ 100万 - 项目类别:
Continuing Grant
HCC: Medium: A novel neural interface for user-driven control of rehabilitation of finger individuation
HCC:中:一种新颖的神经接口,用于用户驱动的手指个性化康复控制
- 批准号:
2106747 - 财政年份:2021
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
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
- 批准号:
2123678 - 财政年份:2021
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
CAREER: Robust Decoding of Neural Command for Real Time Human Machine Interactions
职业:实时人机交互的神经命令的鲁棒解码
- 批准号:
1847319 - 财政年份:2019
- 资助金额:
$ 100万 - 项目类别:
Continuing Grant
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