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相关概念视频

Excitation-Contraction Coupling in Skeletal Muscles01:20

Excitation-Contraction Coupling in Skeletal Muscles

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Excitation-contraction coupling is a series of events that occur between generating an action potential and initiating a muscle contraction. It occurs at the triad, a structure found in skeletal muscle fibers that comprise a T-tubule and terminal cisternae of the sarcoplasmic reticulum on each side. These triads are visible in longitudinally sectioned muscle fibers. They are typically located at the A-I junction — the junction between the A and I bands of the sarcomere.
When an action...
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Ankle Joint01:10

Ankle Joint

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The ankle is formed by the talocrural joint (crural = leg). It consists of the articulations between the talus bone of the foot and the distal ends of the tibia and fibula of the leg. The superior aspect of the talus bone is square-shaped and has three areas of articulation. The top of the talus articulates with the inferior tibia. This is the portion of the ankle joint that carries the body weight between the leg and foot. The sides of the talus are firmly held in position by the articulations...
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Muscle Coordination and Action01:24

Muscle Coordination and Action

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Muscle coordination is a complex and finely tuned process essential for smooth and purposeful movements like flexion, extension, adduction, abduction, and rotation. The human body orchestrates the actions of various muscles working in concert, each with a specific role. Four functional types describe how muscles work together: agonist, antagonist, synergist, and fixator.
Agonists
Agonist muscles, often called prime movers, are the primary muscles responsible for producing a specific movement....
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Generation of Action Potential in Skeletal Muscles01:24

Generation of Action Potential in Skeletal Muscles

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Every cell in the body maintains a membrane potential due to an uneven distribution of positive and negative charges across its plasma membrane. The membrane potential is measured in millivolts and quantifies the difference in charge across the membrane.
Like neurons, muscle cells are also regarded as excitable due to their capacity to change in response to stimuli, primarily due to voltage-gated ion channels embedded in their plasma membranes, which get activated by alterations in the...
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Muscles of the Leg that Move the Foot and Toes01:28

Muscles of the Leg that Move the Foot and Toes

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The human leg comprises an intricate system of muscles that facilitate the movement of feet and toes. Within this system, the muscles are categorized into the anterior, lateral, and posterior compartments, each with a unique set of muscles carrying out specific functions.
Anterior Compartment
The anterior compartment includes muscles that contribute to the dorsiflexion of the foot. This compartment houses the tibialis anterior, extensor hallucis longus, and extensor digitorum longus muscles....
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Relaxation of Skeletal Muscles01:29

Relaxation of Skeletal Muscles

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The period of muscle contraction primarily influences the duration of stimulation at the neuromuscular junction (NMJ), the presence of free calcium ions in the sarcoplasm, and the availability of energy or ATP to support contractions.
When an action potential reaches the axon terminal, it depolarizes the membrane and opens voltage-gated sodium channels. Sodium ions enter the cell, further depolarizing the presynaptic membrane. This depolarization causes voltage-gated calcium channels to open....
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多模式肌肉激活建模使用库普曼操作员线性化为关节外骨.

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    此摘要是机器生成的。

    这项研究引入了一种新的数据驱动模式,用于步行康复. 它通过使用融合肌肉信号精确估计脚扭矩来增强人机交互,以更好地协助外骨架.

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    科学领域:

    • 生物力学 生物力学
    • 机器人技术 机器人技术 机器人技术
    • 康复工程 康复工程

    背景情况:

    • 步行障碍显著降低了流动性和生活质量.
    • 智能康复设备需要动态模型来实现有效的人机交互和协助.
    • 准确估计意志扭矩对于个性化步行支至关重要.

    研究的目的:

    • 开发一个数据驱动的模型,用于估计步行周期期间的自愿脚扭矩.
    • 将Koopman操作员的线性估计与化表面电肌学 (sEMG) 和超声波 (US) 成像相结合.
    • 为了提高状态和意志扭矩估计的准确性,以加强步态康复.

    主要方法:

    • 利用库普曼操作员的线性估计来建模非线性,相位依赖的脚运动动态.
    • 融合表面电肌图 (sEMG) 和超声波 (US) 成像数据,以增强肌肉激活预测.
    • 开发了一种数据驱动的框架,用于在整个步行周期中实时预定扭矩估计.

    主要成果:

    • 综合模型在估计 volitional 脚扭矩方面表现出更高的准确性.
    • sEMG和US信号的融合为肌肉激活提供了结合的电气和形态洞察力.
    • 该框架成功估计了脚运动的非线性,相位依赖的动态.

    结论:

    • 拟议的数据驱动模型显示了改善步行康复策略的巨大潜力.
    • 通过融合sEMG,美国成像和库普曼操作员方法,可以实现准确的意志扭矩估计.
    • 这一框架为个性化外骨架辅助和更有效的步行康复奠定了基础.