Asymmetric robotic gait training and asymmetric reaching training to induce both

不对称机器人步态训练和不对称到达训练诱导两者

基本信息

  • 批准号:
    8241396
  • 负责人:
  • 金额:
    $ 8.63万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-04-01 至 2014-03-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): The candidate's PhD work focused on the Lokomat robotic gait training device and measuring the actual forces that patients exerted during training in this device. As a postdoc he is currently investigating the ability of a rodent robotic gait training device to restore over ground locomotion following cervical spinal cord injury and the underlying plasticity of the central nervous system in response to the training. In both human and animal robotic gait trainers, the training consists of actively guiding the limbs through a symmetric healthy gait pattern. As an independent researcher the candidate proposes to study different training patterns, specifically training within asymmetric force fields, in order to findthe optimal robotic training. Asymmetric training can also be applied to other tasks, such as skilled reaching. Therefore, the candidate intends to show that the asymmetric training of both locomotion and reaching will lead to greater functional improvements in a variety of tasks and greater neuronal plasticity than the conventional symmetric training. By uncovering the optimal training techniques in animal models, clinical training practices may then be improved. PUBLIC HEALTH RELEVANCE: Following neurological injury, physical training has long been a favored treatment option among clinicians. Unfortunately, clinical practices are not always justified with the appropriate background animal research and experimental findings in animal models do not always make their way into the clinical setting. The proposed project aims to bridge this gap by first optimizing robotic treadmill training in rodent models, which would help maximize the robotic treadmill training of patients. Then by applying clinical techniques of asymmetric training, the candidate aims to increase the effectiveness of skilled forelimb training of rodents following a cervical spinal cord injury.
描述(由申请人提供):该候选人的博士工作重点是 Lokomat 机器人步态训练设备,并测量患者在该设备中训练期间施加的实际力量。作为一名博士后,他目前正在研究啮齿动物机器人步态训练装置在颈脊髓损伤后恢复地面运动的能力,以及中枢神经系统响应训练的潜在可塑性。在人类和动物机器人步态训练器中,训练包括主动引导肢体形成对称的健康步态模式。作为一名独立研究人员,候选人建议研究不同的训练模式,特别是在不对称力场内的训练,以找到最佳的机器人训练。非对称训练也可以应用于其他任务,例如熟练的到达。因此,候选人打算证明,与传统的对称训练相比,运动和伸手的不对称训练将导致各种任务的更大功能改善和更大的神经元可塑性。通过在动物模型中发现最佳训练技术,可以改进临床训练实践。 公共卫生相关性:神经损伤后,体能训练长期以来一直是临床医生青睐的治疗选择。不幸的是,临床实践并不总是有适当的动物研究背景,并且动物模型的实验结果并不总是能够进入临床环境。拟议的项目旨在通过首先优化啮齿动物模型中的机器人跑步机训练来弥补这一差距,这将有助于最大限度地提高患者的机器人跑步机训练。然后,通过应用不对称训练的临床技术,候选人的目标是提高颈脊髓损伤后啮齿类动物前肢熟练训练的有效性。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(1)

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NATHAN DANIEL NECKEL其他文献

NATHAN DANIEL NECKEL的其他文献

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{{ truncateString('NATHAN DANIEL NECKEL', 18)}}的其他基金

Identifying Robotic Training Forces Which Lead To Optimal Recovery of Overground Locomotion
确定可实现地上运动最佳恢复的机器人训练力
  • 批准号:
    10353938
  • 财政年份:
    2022
  • 资助金额:
    $ 8.63万
  • 项目类别:
Identifying Robotic Training Forces Which Lead To Optimal Recovery of Overground Locomotion
确定可实现地上运动最佳恢复的机器人训练力
  • 批准号:
    10594057
  • 财政年份:
    2022
  • 资助金额:
    $ 8.63万
  • 项目类别:
Asymmetric robotic gait training and asymmetric reaching training to induce both
不对称机器人步态训练和不对称到达训练诱导两者
  • 批准号:
    8912523
  • 财政年份:
    2014
  • 资助金额:
    $ 8.63万
  • 项目类别:
Asymmetric robotic gait training and asymmetric reaching training to induce both
不对称机器人步态训练和不对称到达训练诱导两者
  • 批准号:
    9110275
  • 财政年份:
    2014
  • 资助金额:
    $ 8.63万
  • 项目类别:
Asymmetric robotic gait training and asymmetric reaching training to induce both
不对称机器人步态训练和不对称到达训练诱导两者
  • 批准号:
    8904908
  • 财政年份:
    2014
  • 资助金额:
    $ 8.63万
  • 项目类别:
Asymmetric robotic gait training and asymmetric reaching training to induce both
不对称机器人步态训练和不对称到达训练诱导两者
  • 批准号:
    8449071
  • 财政年份:
    2012
  • 资助金额:
    $ 8.63万
  • 项目类别:

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