首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Converging Robotic Technologies in Targeted Neural Rehabilitation: A Review of Emerging Solutions and Challenges
【2h】

Converging Robotic Technologies in Targeted Neural Rehabilitation: A Review of Emerging Solutions and Challenges

机译:针对性神经康复中的融合机器人技术 - 对新兴解决方案和挑战的综述

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Recent advances in the field of neural rehabilitation, facilitated through technological innovation and improved neurophysiological knowledge of impaired motor control, have opened up new research directions. Such advances increase the relevance of existing interventions, as well as allow novel methodologies and technological synergies. New approaches attempt to partially overcome long-term disability caused by spinal cord injury, using either invasive bridging technologies or noninvasive human–machine interfaces. Muscular dystrophies benefit from electromyography and novel sensors that shed light on underlying neuromotor mechanisms in people with Duchenne. Novel wearable robotics devices are being tailored to specific patient populations, such as traumatic brain injury, stroke, and amputated individuals. In addition, developments in robot-assisted rehabilitation may enhance motor learning and generate movement repetitions by decoding the brain activity of patients during therapy. This is further facilitated by artificial intelligence algorithms coupled with faster electronics. The practical impact of integrating such technologies with neural rehabilitation treatment can be substantial. They can potentially empower nontechnically trained individuals—namely, family members and professional carers—to alter the programming of neural rehabilitation robotic setups, to actively get involved and intervene promptly at the point of care. This narrative review considers existing and emerging neural rehabilitation technologies through the perspective of replacing or restoring functions, enhancing, or improving natural neural output, as well as promoting or recruiting dormant neuroplasticity. Upon conclusion, we discuss the future directions for neural rehabilitation research, diagnosis, and treatment based on the discussed technologies and their major roadblocks. This future may eventually become possible through technological evolution and convergence of mutually beneficial technologies to create hybrid solutions.
机译:通过技术创新的神经康复领域的最新进展,促进了技术创新,改善了电机控制受损的神经生理学知识,开辟了新的研究方向。这种进步增加了现有干预措施的相关性,以及允许新的方法和技术协同作用。新方法试图部分地克服脊髓损伤引起的长期残疾,使用任何侵入性桥接技术或非侵入式人机界面。肌营养不良药物从肌电图和新颖的传感器中受益于Duchenne人们的潜在神经调节机制脱落。新型可穿戴机器人设备正在为特定的患者人群量身定制,例如创伤性脑损伤,中风和截肢个体。此外,机器人辅助康复的发展可以通过解码治疗期间患者的大脑活动来增强电动机学习并产生运动重复。通过与更快的电子设备耦合的人工智能算法进一步促进了这一点。将这种技术与神经康复治疗相结合的实际影响可能是很大的。他们可以潜行无限制的个人 - 即家庭成员和专业的护理人员 - 改变神经康复机器人设置的编程,积极参与,并在护理点迅速干预。这种叙述审查通过替代或恢复功能,增强或改善自然神经输出,以及促进或招募休眠神经塑性,这一叙述审查考虑了现有和新兴的神经康复技术。结束后,我们讨论了神经康复研究,诊断和治疗的未来方向,基于讨论的技术及其主要障碍。通过互利技术的技术演变和融合来创造混合解决方案,这将最终成为可能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号