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相关概念视频

Anatomical Positions01:11

Anatomical Positions

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In anatomy, several standard anatomical positions are used as references for describing the position and orientation of different body parts. These positions help provide a common frame of reference when discussing anatomical structures. The anatomical position is the standard reference point for describing the body's position and orientation. In this position:
The body is upright, facing forward, and standing erect.
The feet are parallel and flat on the floor.
The arms are hanging by the...
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Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
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用深度学习技术对腹部和背部形婴儿的姿势分析:一项协议研究

Sara Velázquez-Iglesias1, Vidal Moreno-Rodilla2, Belén Curto-Diego2

  • 1Department of Nursing and Physiotherapy, Universidad de Salamanca, 37007 Salamanca, Spain.

Journal of clinical medicine
|May 14, 2025
PubMed
概括

人工智能 (AI) 提供客观的婴儿姿势评估,用于早期运动发育分析. 这项技术有助于识别潜在的延迟,改善0-6个月龄的婴儿的及时干预.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.发动机发展 发动机发展神经网络的神经网络的神经网络姿势分析 姿势分析

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A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
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科学领域:

  • 儿科 儿科 儿科
  • 发育神经科学的发展神经科学.
  • 生物医学工程 生物医学工程

背景情况:

  • 姿势分析对于了解早期运动发育至关重要.
  • 技术进步需要客观的工具来评估姿势控制.
  • 姿势控制与婴儿的整体运动发育密切相关.

研究的目的:

  • 用人工智能分析婴儿在腹部和背部位的姿势.
  • 建立0-6个月龄婴儿姿势评估的客观参数.
  • 利用深度学习来精确评估婴儿的姿势发育.

主要方法:

  • 观察性,横截面研究设计.
  • 系统的婴儿运动学评估.
  • 在玻璃平台上使用深度学习技术对腹部和背部部婴儿的图像分析.

主要成果:

  • 目前的方法缺乏对典型发育婴儿的支持区域的客观评估.
  • 人工智能 (AI) 在客观的婴儿姿势分析和延迟检测方面表现有前途.
  • 深度学习技术将根据年龄定义婴儿支持区域.

结论:

  • 早期发现运动或姿势延迟对于有效的治疗优化至关重要.
  • 人工智能可以管理医疗保健数据的复杂性,提供对婴儿姿势控制的见解.
  • 人工智能有助于临床决策,减少医疗保健专业人员的工作量.