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Neural Regulation of Blood Pressure

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The neural regulation of blood pressure involves intricate interactions between the autonomic nervous system (ANS) and cardiovascular system, ensuring adequate perfusion of tissues. This regulation primarily occurs through baroreceptor and chemoreceptor reflexes, involving both short-term and long-term mechanisms.
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Assessing blood pressure is a standard procedure executed in virtually all medical environments. The method utilized today was established over a hundred years ago by an innovative Russian doctor, Dr. Nikolai Korotkoff. The soft ticking noise, known as Korotkoff sounds, heard while taking blood pressure readings results from turbulent blood flow within the vessels. The apparatus required for this procedure includes a sphygmomanometer, a blood pressure cuff attached to a gauge, and a...
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Accurate blood pressure assessment is crucial for diagnosing and managing various health conditions. To ensure the reliability of these measurements, healthcare professionals must adhere to standardized pre-procedural guidelines. These guidelines enhance patient safety and improve the overall quality of healthcare. The following steps are essential for obtaining accurate and consistent blood pressure readings, from using the appropriate tools to ensuring effective communication with the...
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When assessing blood pressure (BP), healthcare professionals must consider various factors and potential unexpected outcomes to ensure accurate readings and provide proper patient care. Adhering to these guidelines is essential to achieving the most reliable results.
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Direct Method
This invasive approach involves cannulating a peripheral artery. During each cardiac contraction, pressure generates mechanical motion within the catheter, transmitted through rigid, fluid-filled tubing to a transducer. This transducer converts mechanical motion into electrical signals displayed as waveforms on a monitor. An automatic flushing system prevents blood backflow. Due to the potential risk of unexpected arterial blood loss, this method is primarily used in intensive...
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Measuring Blood Pressure in Mice using Volume Pressure Recording, a Tail-cuff Method
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Cuff-Less Blood Pressure Estimation via Small Convolutional Neural Networks.

Weinan Wang, Pedram Mohseni, Kevin Kilgore

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 11, 2021
    PubMed
    Summary

    This study introduces a novel deep learning method for cuff-less blood pressure estimation using photoplethysmogram signals. The approach achieves high accuracy, meeting British Hypertension Society standards for reliable blood pressure monitoring.

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    Area of Science:

    • Biomedical Engineering
    • Artificial Intelligence in Healthcare

    Background:

    • Cuff-less blood pressure (BP) estimation methods are gaining traction for convenient monitoring.
    • Deep learning models offer potential for accurate BP estimation using single physiological signals.

    Purpose of the Study:

    • To develop a simple and effective deep learning method for cuff-less blood pressure estimation.
    • To validate the accuracy of the proposed method against established standards.

    Main Methods:

    • Utilized a modified LeNet-5 convolutional neural network (CNN).
    • Trained the CNN using images generated from photoplethysmogram (PPG) signal segments via visibility graph (VG).

    Main Results:

    • Achieved mean error (ME) and standard deviation (SD) of 0.184±7.457 mmHg for systolic BP (SBP) and 0.343±4.065 mmHg for diastolic BP (DBP).
    • Both SBP and DBP accuracy ranked Grade A under the British Hypertension Society (BHS) protocol.

    Conclusions:

    • The proposed deep learning method provides an accurate and effective approach for cuff-less blood pressure estimation.
    • The visibility graph-based image generation combined with CNN shows promise for non-invasive BP monitoring.