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Updated: Jun 3, 2025

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运动障碍和智能手腕设备:一项全面研究

Andrea Caroppo1, Andrea Manni1, Gabriele Rescio1

  • 1National Research Council of Italy, Institute for Microelectronics and Microsystems, 73100 Lecce, Italy.

Sensors (Basel, Switzerland)
|January 11, 2025
PubMed
概括

智能手腕设备显示出对监测像帕金森病这样的运动障碍的前景. 然而,它们在治疗各种神经疾病的广泛临床应用方面仍然存在挑战.

关键词:
亨廷顿病就是亨廷顿病.帕金森病是帕金森氏症的一种疾病.图雷特综合征 图雷特综合征亚达克西亚 亚达克西亚 亚达克西亚 亚达克西亚在手手.是一种.基本震是一种基本的震.步态障碍 步态障碍 步态障碍运动障碍 运动障碍审查 审查 审查 审查 审查 审查发作检测检测 发作检测智能手表 智能手表震,震,震动,这是一个很大的问题.单方面脑是单方面的脑.在手腕上穿戴.他们的手腕带.

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科学领域:

  • 生物医学工程 生物医学工程
  • 神经学 神经学
  • 数字健康数字健康

背景情况:

  • 运动障碍包括多种疾病,包括帕金森病,亨廷顿病和震,其特点是各种运动和非运动症状.
  • 与其他健康监测传感器相比,智能手腕设备 (智能手表,腕带,手) 越来越普遍,因为它们的价格实惠,用户友好和非侵入性.

研究的目的:

  • 系统地审查和综合利用智能手腕设备监测特定运动障碍的研究.
  • 分析用于评估神经疾病的可穿戴技术应用中的趋势,方法和挑战.

主要方法:

  • 按照PRISMA-S的指导方针进行了系统的文献审查,分析了130项选定的研究.
  • 数据提取包括设备模型,用户号码,数据集,数据类型,算法管道和分类方法.

主要成果:

  • 在过去十年中,研究出版物的显著增加表明了对这一领域日益增长的科学兴趣.
  • 帕金森病是最常被研究的疾病,其次是和发作检测. 其他疾病,如亨廷顿病和动力衰竭,代表性较低.
  • 尽管有优势,但当前的智能手腕设备应用在有效监测各种运动障碍方面面临着挑战.

结论:

  • 智能手腕设备提供了一个潜在的低成本,可访问的解决方案,用于在日常生活环境中远程监测运动障碍.
  • 需要进一步的研究和技术进步来克服现有的局限性,并充分实现可穿戴设备在神经治疗中的潜力.