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Pulse Assessment Sites

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Pulse assessment sites are crucial in evaluating a patient's cardiovascular health. By assessing the pulsations of arteries at specific anatomical locations, healthcare professionals can gather valuable information about blood flow, heart rate, and peripheral circulation. Understanding these pulse assessment sites is essential for conducting comprehensive cardiovascular evaluations and monitoring patients' overall health. These sites are strategically chosen due to the accessibility and...
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相关实验视频

Updated: Jul 13, 2025

Evaluating the Function of the Foot Core System in the Elderly
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基于对齐测量的平脚严重程度水平检测.

Fatmah A Alsaidi1, Kawthar M Moria2

  • 1Department of Computer Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.

Sensors (Basel, Switzerland)
|October 14, 2023
PubMed
概括
此摘要是机器生成的。

这项研究开发了一种自动化模型,使用横脚X射线检测平脚. 一个随机森林模型通过分析三个关键的脚角,实现了93.13%的准确性.

关键词:
卷积神经网络是一个卷积神经网络.随机的森林 随机的森林在VGG-16中.平脚平脚是一个平脚.侧面的弧形角度 侧面的弧形角度侧面的加尔卡内尔倾斜角度侧面的米里角是模板匹配的匹配方式

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3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue
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相关实验视频

Last Updated: Jul 13, 2025

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Predictive Measurement for Windlass Change in Length and Selected Treatment Outcomes in Chronic Plantar Fasciitis
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科学领域:

  • 医疗成像医学成像
  • 生物医学工程 生物医学工程
  • 整形外科 整形外科 整形外科

背景情况:

  • 平脚是一种常见的姿势形,影响脚与地面的接触.
  • 放射性X射线影像为专用设备提供了负担得起的替代方案,用于检测平脚.
  • 自动检测可以提高诊断效率和可访问性.

研究的目的:

  • 开发一种自动化模型,通过横脚X射线图像检测平脚和其严重程度.
  • 测量和分析三个关键的脚角:角,米里角和角.
  • 在此任务中比较卷积神经网络 (CNN) 和随机森林 (RF) 模型的性能.

主要方法:

  • 模板匹配用于识别角度测量的潜在解剖地标.
  • 使用分类器来选择最有可能用于准确角度计算的点.
  • 两种模型,CNN和Random Forest,在8000张图像上进行了训练,并在240个案例上进行了测试,包括转移学习 (VGG-16) 和数据增强.

主要成果:

  • 随机森林模型实现了最高的整体准确率93.13%.
  • 随机森林模型表现出强大的性能指标:93.38%的精度,92.56%的回忆,96.46%的特异性,95.42%的准确性和92.90%的F-Score.
  • 对三英尺角的分析提供了与单角测量相比更准确的估计.

结论:

  • 转移学习 (VGG-16) 作为特征提取器,与图像增强相结合,显著提高了模型的准确性.
  • 使用多个脚角测量 (形,梅里斯,形倾斜) 提高了平脚检测和严重性评估的精度.
  • 开发的自动化模型显示了使用X射线图像进行平脚的高效和准确的临床诊断的希望.