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Related Concept Videos

Virtual Work01:20

Virtual Work

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The principle of virtual work states that if a body is in static and dynamic equilibrium, then the sum of all the virtual work done by all external forces and couple moments for any given virtual displacement must be zero.
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Anatomical Movements00:51

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Anatomical movements refer to the various actions or motions that can be performed by the body's joints and muscles. These movements are described using specific terms to provide a standardized way of discussing and understanding the range of motion at different joints.
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Intrinsically Disordered Proteins02:18

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In eukaryotic cells,  cytoskeletal filaments such as actin, microtubules, and intermediate filaments form a mesh-like cytoskeletal network. These filaments serve as tracks for transporting cellular cargo. Specialized motor proteins use the chemical energy stored in adenosine triphosphate (ATP) for this transport. During interphase, microtubules are polarized, with the plus-end towards the cell periphery and the minus-end towards the cell center. Two microtubule-associated motor proteins,...
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Principle of Virtual Work: Problem Solving01:13

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The principle of virtual work is an essential concept in the field of mechanics and engineering. This is used to solve problems related to the equilibrium of a structure or system. It is based on the assumption that if a system is in equilibrium, the work done by all the forces during a virtual displacement is zero. This principle is applied by considering virtual displacements of the system and the corresponding work done by internal and external forces.
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Fluid Movement Between Compartments01:18

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The force applied by fluids against a surface, known as hydrostatic pressure, initiates the transfer of fluid among different compartments. Within our blood vessels, the blood's hydrostatic pressure is a result of the heart's pumping action. At the arteriolar end of capillaries, hydrostatic pressure (capillary blood pressure) exceeds the opposing colloid osmotic pressure created primarily by plasma proteins like albumin. This discrepancy in pressure propels plasma and nutrients from the...
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Measuring the Kinematics of Daily Living Movements with Motion Capture Systems in Virtual Reality
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Virtual Reality, Visual Cliffs, and Movement Disorders.

Rachneet Kaur, Xun Lin, Alexander Layton

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |November 17, 2018
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    Summary
    This summary is machine-generated.

    This study introduces a virtual reality setup using EEG and treadmill data to understand and reduce fear of falling. The system dynamically adjusts virtual environments to help elderly individuals build compensatory mechanisms.

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    Area of Science:

    • Neuroscience
    • Gerontology
    • Virtual Reality

    Background:

    • Fear of falling is a significant concern, especially for the elderly, impacting mobility and quality of life.
    • Existing methods for assessing and mitigating fear of falling lack dynamic, real-time feedback mechanisms.

    Purpose of the Study:

    • To develop and validate an experimental setup for dynamically assessing neural responses to visual stimuli simulating cliffs during walking.
    • To understand the neural mechanisms underlying the fear of falling.
    • To explore potential therapeutic interventions for mitigating fear of falling in the elderly population.

    Main Methods:

    • Utilized a virtual reality environment with a visual cliff paradigm.
    • Employed electroencephalography (EEG) caps to monitor neural activity.
    • Integrated an instrumented treadmill to capture gait parameters (speed, pressure).
    • Dynamically altered virtual landscapes based on real-time subject data.

    Main Results:

    • The setup successfully captured neural and biomechanical responses to visual cliff stimuli during locomotion.
    • Demonstrated the feasibility of dynamically adjusting virtual environments based on physiological and kinematic data.
    • Established a quantifiable link between neural activity, gait parameters, and responses to simulated falls.

    Conclusions:

    • The described experimental setup provides a novel approach to studying the fear of falling.
    • This dynamic virtual reality system holds potential for developing personalized interventions to improve balance and reduce fall risk in the elderly.
    • Further research can refine this platform for clinical applications in fall prevention and rehabilitation.