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相关概念视频

Assessing Blood pressure using a doppler ultrasound01:19

Assessing Blood pressure using a doppler ultrasound

To obtain accurate blood pressure measurements in clinical settings, especially when traditional methods are insufficient, healthcare professionals utilize the Doppler ultrasound technique. This method uses high-frequency sound waves to detect blood flow within the arteries, which is crucial for patients with conditions that complicate circulatory system assessment.
Pre-Procedural Guidelines for Doppler Ultrasound Blood Pressure Assessment:
Preparation of Equipment:
Ultrasonography01:17

Ultrasonography

Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called a...
Bones of the Upper Limb: Humerus01:19

Bones of the Upper Limb: Humerus

The upper limb consists of the arm, forearm, wrist, and hand bones. The humerus is the single bone of the upper arm region. Proximally, it has a large, spherical, smooth head that articulates with the glenoid cavity of the scapula to form the glenohumeral or shoulder joint. The margin of the head is the anatomical neck, a residual epiphyseal plate. Laterally it extends to form bony projections called the greater tubercle and the lesser tubercle. Next to the tubercles is the surgical neck, a...
Bones of the Upper Limb: Ulna01:15

Bones of the Upper Limb: Ulna

The ulna and radius are parallel bones of the antebrachium or the forearm. The ulna lies medially and consists of a bony tip called the olecranon process at its proximal end. This hook-like projection articulates with the olecranon fossa of the humerus and forms the "hinged" ulnohumeral part of the elbow joint. This joint facilitates forearm extension and flexion while preventing its hyperextension. Similarly, the coronoid process, another bony projection on the proximal/anterior side of the...

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相关实验视频

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A Novel Application of Musculoskeletal Ultrasound Imaging
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使用前臂超声波同时估计手部配置和手指关节角度.

Keshav Bimbraw1, Christopher J Nycz2, Matthew Schueler1

  • 1Department of Robotics Engineering, Worcester Polytechnic Institute, Worcester, MA 01609 USA.

IEEE transactions on medical robotics and bionics
|June 13, 2025
PubMed
概括

这项研究引入了一种深度学习管道,使用前臂超声波图像来预测元手腕关节 (MCP) 关节角度,并为直观的人机交互分类手的配置.

关键词:
支持人工智能的机器人.和面部表情的表情.设计和开发用于人机交互的机器人.一个手势,一个手势.人机界面和机器人应用程序医疗机器人的新技术和方法.姿势 姿势 姿势以用户为中心的设计和应用程序.可穿戴式机器人技术可穿戴传感器系统可穿戴传感器系统

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科学领域:

  • 机器人和人机交互的人机交互
  • 生物医学工程 生物医学工程
  • 机器学习和深度学习

背景情况:

  • 计算机和机器人技术的进步需要直观的人机界面.
  • 手的运动识别,包括手的配置分类和手腕关节 (MCP) 关节角度检测,对于与数字和物理系统的无交互至关重要.
  • 虽然表面电肌图 (sEMG) 和其他方法存在,前臂超声波为手部运动分析提供非侵入性肌肉骨可视化.

研究的目的:

  • 开发和评估一个深度学习管道,用于从前臂超声波图像中估计MCP关节角度.
  • 用机器学习算法对超声波数据进行应用,对手的配置进行分类.
  • 解决关于从前臂超声波同时估计手部配置和MCP关节角度的文献上的差距.

主要方法:

  • 基于卷积神经网络 (CNN) 的深度学习管道被提议用于预测MCP关节角度.
  • 超声波图像是从11个不同的手部配置的实验对象获得的.
  • 使用支持矢量分类器 (SVC),多层感知子和拟议的CNN进行了对比. 运动捕捉数据为联合角度提供了地面真相.

主要成果:

  • 拟议的CNN实现了平均分类准确度为82.7±9.7%的手配置.
  • 具有不同内核的支持矢量分类器 (SVC) 也显示了超过80%的分类准确性.
  • 对于预测的MCP关节角度,获得了7.35°±1.3°的平均根平均平方误差 (RMSE).

结论:

  • 开发的基于CNN的管道有效地估计MCP关节角度,并从前臂超声图像分类手的配置.
  • 该系统实现了低延迟 (6.25 - 9.1 Hz),使其适合实时控制应用.
  • 这种方法为增强人机界面和机器人系统的直观控制提供了一个有希望的方法.