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相关概念视频

Types Of Transformers01:16

Types Of Transformers

1.1K
Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
If the ratio of the number of turns in the secondary winding to that of the primary winding is greater than one, then the transformer is said to be a step-up transformer. In a step-up transformer, the voltage at the secondary winding is greater than the voltage applied at the primary winding.
However, if this ratio is less than one, the transformer is said to be a step-down...
1.1K
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

213
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
213
The Ideal Transformer01:26

The Ideal Transformer

913
In single-phase two-winding transformers, two windings are coiled around a magnetic core characterized by cross-sectional area A and magnetic permeability μ. A phasor current i1 enters the left winding while i2 exits the right winding, establishing the fundamental working of the transformer through electromagnetic principles.
Ampere's Law forms the basis of understanding the magnetic field within the transformer. It states that the integral of the magnetic field intensity's...
913
Motor Unit Stimulation01:20

Motor Unit Stimulation

2.0K
When the neuron of a motor unit fires an action potential, it triggers a series of events, leading to a twitch contraction in the muscle fibers. The process of excitation-contraction coupling is crucial in relaying the action potential to the muscle fibers.
The latent period of contraction marks the onset of excitation-contraction coupling, when the action potential propagates across the sarcolemma, preparing the muscle fibers for contraction. As the fibers enter the contraction phase, the...
2.0K

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A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
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基于回归的肌电控制的高效多位置训练:通过转移学习探索变压器模型.

Shriram Tallam Puranam Raghu, Heather E Williams, Erik Scheme

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    概括
    此摘要是机器生成的。

    这项研究探讨了减少基于回归的肌电控制训练时间的方法,使得手腕和手的同时运动更自然. 通过微调几次射击进行转移学习,显示了改善假肢控制的有希望的结果.

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    科学领域:

    • 生物医学工程 生物医学工程
    • 康复机器人 康复机器人
    • 神经修复品是一种神经修复品.

    背景情况:

    • 目前的上肢肌电假肢经常使用分类模型,限制了对多个自由度 (DOF) 的同时控制.
    • 基于回归的模型为更自然的运动提供了同时的DOF控制,但通常需要广泛的训练.
    • 减少基于回归的肌电控制的培训负担对于临床采用至关重要.

    研究的目的:

    • 调查和比较不同的方法来减少基于回归的肌电控制的培训负担.
    • 在此背景下,评估转移学习和少量学习技术的有效性.
    • 为了能够更直观和自然地控制上肢假肢.

    主要方法:

    • 从10名身体健康的参与者收集了电肌图 (EMG) 数据.
    • 测试了五种训练策略:传统训练 (单肢/多肢姿势) 和少数射击学习.
    • 应用了转移学习,对其他用户的数据进行预训练模型,并与最终用户数据进行微调.
    • 模型使用线性回归器,卷积神经网络和变压器架构进行了评估.

    主要成果:

    • 转移学习与几次精确调整相结合,在所有参与者中实现了第二高的R2中位数0.76.
    • 这种方法表明了改善基于回归的肌电控制的巨大潜力.
    • 该研究提供了多DOF假肢控制有效培训的概念证明.

    结论:

    • 对于基于回归的肌电控制来说,可以减少训练例程.
    • 转移学习和少量学习是最小化培训数据要求的有效策略.
    • 开发的方法为更加自然和直观的假肢功能铺平了道路.