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相关概念视频

Average Acceleration01:30

Average Acceleration

The importance of understanding acceleration spans our day-to-day experiences, as well as the vast reaches of outer space and the tiny world of subatomic physics. In everyday conversation, to accelerate means to speed up. For instance, we are familiar with the acceleration of our car; the harder we apply our foot to the gas pedal, the faster we accelerate. The greater the acceleration, the greater the change in velocity over a given time. Acceleration is widely seen in experimental physics. In...
Power Expended by a Constant Force00:57

Power Expended by a Constant Force

The relationship between work done and the time taken to do it can be explained using the concept of power. For example, several sprinters in a race may have the same velocity when they reach the finish line, therefore doing the same amount of work, but the winner does it in the least amount of time. Thus, power is defined as the rate of doing work. Since work can vary as a function of time, the average power is defined as the work done during a time interval, divided by the time interval.
Work and Energy for Variable Forces01:10

Work and Energy for Variable Forces

When an object is acted upon by a variable force, the amount of work done and the change in energy of the object can be more complex to calculate compared to when a constant force is applied. Work is the product of force and displacement, while energy is the capacity of a system to do work. When a constant force is applied to an object, the work done can be calculated as the product of the force and the distance moved in the direction of the force. However, when a variable force is applied, the...
Central-Force Motion01:17

Central-Force Motion

The central force system operates by exerting a force on an object directed towards a fixed point, typically the origin, with the force magnitude determined by the object's distance from this fixed point. In the context of an object with mass 'm,' polar coordinates are employed to express the equation of motion. Notably, the azimuthal component of force is nonexistent in this system. A comprehensive rewrite and integration of this equation reveal that the product of the squared radial distance...
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
Tangential and Normal Components of Acceleration01:27

Tangential and Normal Components of Acceleration

In the study of particle motion, acceleration is often broken down into tangential and normal components to clarify how a particle's velocity changes over time. This approach relies on analyzing the geometry of the path and the dynamics of the motion. The tangential direction follows the path of motion and reflects changes in the particle's speed, while the normal direction points toward the center of curvature and captures changes in the direction of motion.The velocity of a particle moving...

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相关实验视频

Updated: Jun 12, 2026

Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments
08:45

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Published on: March 28, 2018

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在中风后的运动异常的数据驱动量化.

Avinash Parnandi1, Aakash Kaku2, Anita Venkatesan1

  • 1Department of Neurology, NYU Grossman School of Medicine, New York, NY 10017, USA.

Bioengineering (Basel, Switzerland)
|June 28, 2023
PubMed
概括

这项研究引入了一种新的方法,使用运动捕捉和分布外检测来确定中风幸存者的上肢 (UE) 运动异常. 该方法可以准确地区分运动障碍,有助于临床评估和康复跟踪.

关键词:
深度学习是一种深度学习.惯性测量单位是一种惯性测量单位.运动障碍 运动障碍在分销之外的检测检测.一次性中风中风中风中风中风

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相关实验视频

Last Updated: Jun 12, 2026

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科学领域:

  • 生物医学工程 生物医学工程
  • 康复科学 康复科学 康复科学
  • 人工智能在医学中的应用

背景情况:

  • 脑卒中经常会损害上肢 (UE) 的运动功能,这给临床评估带来了重大挑战.
  • 目前用于测量UE运动异常的方法缺乏精度和实用性,阻碍了有效的治疗跟踪和治疗.
  • 迫切需要客观,可靠和用户友好的工具来量化中风后的运动缺陷.

研究的目的:

  • 开发和验证一种新的方法,将高维运动捕捉与分布外 (OOD) 检测相结合,用于精确的UE运动分析.
  • 评估使用在健康数据上训练的深度学习模型来识别慢性中风幸存者的异常运动的可行性.
  • 为了将模型性能与运动障碍的临床测量相关联.

主要方法:

  • 利用可穿戴惯性测量单元 (IMU) 来捕获健康个体和慢性中风幸存者的高维上肢运动数据.
  • 开发和训练深度学习模型,仅使用健康受试者的数据来分类功能运动原始体.
  • 在分析来自健康和中风组的未见数据时,采用了OOD检测原则来评估模型信心 (预测概率).

主要成果:

  • 在健康数据上训练的模型对健康运动数据表现出高的信心,但对中风数据的信心显著下降,这表明OD检测异常.
  • 模型信心下降与中风幸存者的运动损伤严重程度有很强的相关性.
  • 来自上肢 (UE) 的运动数据对模型的信心产生了更大的影响,而不是干部运动数据.

结论:

  • 应用于高维运动捕捉数据的分布外检测提供了一种精确和务实的方法,用于识别慢性中风中临床意义上的UE运动异常.
  • 这种方法有可能提高对中风幸存者的客观评估,治疗监测和个性化康复策略.
  • 这些发现强调了人工智能驱动的OOD检测在弥合技术创新和神经康复中的临床需求之间的差距方面的实用性.