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基于计算机视觉的算法 sUppoRt coRrect电极放置NT (CURRENT) 在家进行电动非侵入性脑刺激.

Fabienne Windel1, Rémy Marc M Gardier2, Gaspard Fourchard1

  • 1Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland; Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL Valais, Sion, Switzerland.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
|July 16, 2023
PubMed
概括

一个新的数字工具,CURRENT,帮助患者正确地放置电极,用于在家进行非侵入性脑刺激 (NIBS). 这项技术提高了自我治疗的准确性和信心,提高了患者的护理.

关键词:
计算机视觉 计算机视觉 计算机视觉电极定位算法 电极定位算法在家进行非侵入性脑刺激.监控 监控 监控 监控实时反 实时反这就是它.

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科学领域:

  • 神经科学是一个神经科学.
  • 生物医学工程 生物医学工程
  • 数字健康数字健康

背景情况:

  • 基于家庭的非侵入性脑刺激 (NIBS) 是神经精神疾病的有前途的辅助疗法.
  • 精确的电极放置对于有效的NIBS至关重要,但对自我应用具有挑战性.
  • 目前缺乏在家庭NIBS期间指导电极放置的解决方案.

研究的目的:

  • 开发和评估一个用户友好的数字工具 (CURRENT) 准确的自置NIBS电极.
  • 评估CURRENT工具的可用性和有效性,以支持患者在家中进行NIBS.

主要方法:

  • 招募了36名健康参与者,以比较他们的电极帽放置精度.
  • 在专家指导之前和之后,以及使用CURRENT工具评估了位置准确性.
  • 用户体验和对安置的信心被评估使用主观措施.

主要成果:

  • 与无助预置相比,CURRENT工具显著降低了放置偏差 (p=0.02).
  • 参与者对该工具的易用性和实用性表示高度满意 (8.04/10).
  • 该工具确保放置在推的10毫米偏差内,并提高了用户的信心.

结论:

  • 目前的数字工具证明了高可用性,用于正确的电极放置在家用NIBS自动应用.
  • 这项技术促进了安全有效的自我管理的NIBS,潜在地增加了治疗的可访问性.
  • CURRENT支持将高频,家庭NIBS集成到患者的日常生活中.