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相关概念视频

Structural Classification of Joints01:20

Structural Classification of Joints

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Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
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Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

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When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
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Kinematic Equations - II01:17

Kinematic Equations - II

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The second kinematic equation expresses the final position of an object in terms of its initial position, the distance traveled with the initial constant velocity, and the distance traveled due to a change in velocity. Similar to the first kinematic equation, this equation is also only valid when the acceleration is constant throughout the motion of an object.
Suppose a car merges into freeway traffic on a 200 m long ramp. If its initial velocity is 10 m/s and it accelerates at 2 m/s2, then the...
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Functional Classification of Joints01:09

Functional Classification of Joints

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Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
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Knee Joint01:23

Knee Joint

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The knee joint is the most complicated joint in the body. It consists of three articulations– two tibiofemoral and one patellofemoral. As is characteristic of synovial joints, the knee joint has a thin articular capsule that partially surrounds this joint cavity. Additionally, several ligaments, muscles, and cartilaginous structures support the movement of the knee.
A total of seven ligaments support the knee joint. The patellar ligament, which is also attached to the quadriceps femoris...
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Kinematic Equations - III01:18

Kinematic Equations - III

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The first two kinematic equations have time as a variable, but the third kinematic equation is independent of time. This equation expresses final velocity as a function of the acceleration and distance over which it acts. The fourth kinematic equation does not have an acceleration term and provides the final position of the object at time t in terms of the initial and final velocities. This equation is useful when the value of the constant acceleration is unknown.
Using the kinematic equations,...
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Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task
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使用机器学习探索膝盖动力学的非线性动态结构.

Liora Mayats-Alpay1, Rahul Soangra2

  • 1Computational and Data Sciences, Schmid College of Science and Technology, Chapman University, Orange 92866, CA, USA.

2023 International Conference on Next Generation Electronics (NEleX). International Conference on Next Generation Electronics (2023 : Vellore, India)
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PubMed
概括
此摘要是机器生成的。

机器学习,特别是SINDy (Sparse Identification of Nonlinear Dynamics) 算法,成功地揭示了人类行走过程中膝盖运动的复杂非线性控制方程. 这揭示了运动科学中的动态系统.

关键词:
机器学习 机器学习这就是PySINDy.辛迪是什么意思?辛迪是什么意思?动态系统是一个动态系统.管理方程的方程.膝盖的角度 膝盖的角度优化的优化优化优化.

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Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
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Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
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Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
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Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

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科学领域:

  • 生物力学 生物力学
  • 运动科学 运动科学
  • 非线性动力学是一种非线性动力学.

背景情况:

  • 人类的步态是一个复杂的循环过程,需要多肢协调.
  • 走路时膝盖运动的非线性动态不能完全通过线性模型来解释.

研究的目的:

  • 应用先进的机器学习 (ML) 技术来揭示行走时膝盖运动的控制方程.
  • 为此目的使用非线性动力学 (SINDy) 算法的Sparse识别.

主要方法:

  • 在正常行走过程中使用红外标记收集单个受试者的膝盖运动数据.
  • 在 Python 中使用 PySINDy 库来实现 SINDy 算法.
  • 确定了控制方程,并计算了膝盖动力学动态系统系数.

主要成果:

  • 辛迪算法有效地识别了在步行过程中控制膝盖运动的非线性动态系统.
  • 揭示了准确描述人类行走动态系统的指导方程.

结论:

  • 辛迪算法是揭示运动科学中的非线性动态的强大工具.
  • 这种方法为人类步行的复杂机制提供了新的见解.