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Related Concept Videos

Blood Flow01:29

Blood Flow

70.8K
Blood is pumped by the heart into the aorta, the largest artery in the body, and then into increasingly smaller arteries, arterioles, and capillaries. The velocity of blood flow decreases with increased cross-sectional blood vessel area. As blood returns to the heart through venules and veins, its velocity increases. The movement of blood is encouraged by smooth muscle in the vessel walls, the movement of skeletal muscle surrounding the vessels, and one-way valves that prevent backflow.
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Rapidly Varying Flow01:24

Rapidly Varying Flow

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Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
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Autoregulation of Blood Flow01:17

Autoregulation of Blood Flow

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Autoregulation mechanisms are characterized by their inherent capacity for self-regulation without necessitating specific nervous stimulation or endocrine control. These mechanisms facilitate the adjustment of blood flow and, therefore, perfusion specific to each tissue region. This self-regulation encompasses chemical signals and myogenic controls.
Chemical Signaling in Autoregulation
Chemical signaling operates at the precapillary sphincter level, inciting either contraction or relaxation....
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Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro
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A proof-of-concept real-time processing to characterize vascular flow.

Sahil Shah, Hakan Toreyin, Utku Noyan

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    Summary
    This summary is machine-generated.

    This study introduces a cost-efficient wearable system to monitor blood flow in dialysis patients

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    Area of Science:

    • Biomedical Engineering
    • Medical Devices
    • Cardiovascular Monitoring

    Background:

    • Monitoring vascular flow in arteriovenous fistulas (AVFs) is crucial for dialysis access success.
    • Current methods like external Doppler require frequent clinical visits.
    • There is a need for accessible, robust peripheral blood flow monitoring systems.

    Purpose of the Study:

    • To present a proof-of-concept for a cost-efficient, wearable vascular flow monitoring system.
    • To develop a system for beat-to-beat blood flow capture using impedance plethysmography (IPG).
    • To enable embedded, real-time blood flow computation for peripheral monitoring.

    Main Methods:

    • Utilized impedance plethysmography (IPG) signals to capture beat-to-beat blood flow.
    • Developed embedded computing algorithms to map IPG changes to peripheral blood flow.
    • Employed custom electrical bioimpedance hardware for data acquisition.

    Main Results:

    • Demonstrated proof-of-concept for embedded real-time blood flow computing.
    • Successfully mapped IPG signals to peripheral blood flow changes.
    • Validated the system's capability for robust blood flow monitoring.

    Conclusions:

    • The developed system offers a cost-efficient alternative to current vascular flow monitoring methods.
    • This technology represents a step towards eliminating the need for expensive, specialized equipment.
    • Paves the way for a ubiquitous blood flow monitoring system for dialysis patients with AVFs.