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单腰带与分腰带:智能跑步机控制通过微相步态捕捉用于中风后康复.

Shengting Cao1, Mansoo Ko2, Chih-Ying Li2

  • 1Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL 35487 USA.

IEEE transactions on human-machine systems
|April 11, 2024
PubMed
概括

这项研究介绍了一种人工智能系统"Splicer",它可以将标准的跑步机转换为用于中风康复的分带系统. 它通过根据实时步态相位检测调整皮带转速,使步态训练具有成本效益.

关键词:
深度学习是一种深度学习.跨境和境内关税分类.康复康复康复康复康复康复自主监督学习学习一个单腰带的单腰带.分裂皮带跑步机的跑步机.

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科学领域:

  • 生物医学工程 生物医学工程
  • 康复技术 康复技术 康复技术
  • 人工智能在医学中的应用

背景情况:

  • 脑卒中是导致长期残疾的主要原因,需要有效的康复策略来治疗半.
  • 分裂带跑步机可以改善步态恢复,但对于许多诊所来说,它们的价格过高.
  • 目前的康复方法往往缺乏成本效益的解决方案,以协调半巴患者的腿部运动.

研究的目的:

  • 开发一个基于人工智能的系统来模拟单带跑步机上的分带跑步机功能.
  • 实现实时,自适应步态调整,以改善中风后康复.
  • 为昂贵的分带跑步机提供一个经济有效的替代品.

主要方法:

  • 设计了一个人工智能系统,利用低成本的RGB摄像头捕捉步态模式.
  • 实施了一种新的微步行分类管道,用于实时步行阶段检测的自我监督学习.
  • 采用ResNet-LSTM模块进行时间信息处理,并使用实时过算法进行平滑的跑步机控制.

主要成果:

  • 与传统分类器相比,开发的系统精确地检测了步态微相,与传统分类器相比,减少了人类注释需求.
  • 这个名为"Splicer"的AI系统有效地模仿了分带跑步机的功能,调整了脚的速度并促进了对立侧面对称.
  • 对健康人群和中风患者的测试表明,其性能与实际的分带系统相当.

结论:

  • 由人工智能驱动的"Splicer"系统通过模拟分带跑步机的好处,为中风康复提供了具有成本效益的解决方案.
  • 这项技术有潜力显著提高半身障碍患者获得高级步行训练的机会.
  • 该系统的准确性和减少对手动注释的依赖,代表了人工智能驱动的康复工具的重大进步.