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Related Concept Videos

Heart Sounds01:15

Heart Sounds

4.1K
Heart sounds are generated by the turbulence in blood flow due to the closing of heart valves. These sounds are best perceived slightly away from the valves, where the blood flow disseminates the sound.
Auscultation is the process of listening to these internal body sounds using a stethoscope. The heart produces four types of sounds, but only two—S1 and S2—can usually be heard with a stethoscope.
S1, also known as the "lub" sound, is caused by the closure of atrioventricular (A-V)...
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Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

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Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
411
Equipments Used To Measure Blood Pressure01:30

Equipments Used To Measure Blood Pressure

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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...
3.8K
Korotkoff Sounds01:12

Korotkoff Sounds

9.9K
Korotkoff sounds are the specific sounds heard while measuring blood pressure using a sphygmomanometer, typically with a stethoscope or a Doppler device. They are named after Russian physician Nikolai Korotkov, who first described them in 1905. These sounds correspond to turbulent blood flow in the artery as the blood pressure cuff is gradually released after inflation.
During blood pressure assessment, inflating the cuff 30 millimeters of mercury above the patient's systolic blood pressure...
9.9K
Assessing Blood pressure using a doppler ultrasound01:19

Assessing Blood pressure using a doppler ultrasound

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To obtain accurate blood pressure measurements in clinical settings, especially when traditional methods are insufficient, healthcare professionals utilize the Doppler ultrasound technique. This method uses high-frequency sound waves to detect blood flow within the arteries, which is crucial for patients with conditions that complicate circulatory system assessment.
Pre-Procedural Guidelines for Doppler Ultrasound Blood Pressure Assessment:
Preparation of Equipment:
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Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

387
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
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Semi-automated Optical Heartbeat Analysis of Small Hearts
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A Noise Reduction Technique Based on Nonlinear Kernel Function for Heart Sound Analysis.

Ashok Mondal, Ishan Saxena, Hong Tang

    IEEE Journal of Biomedical and Health Informatics
    |February 17, 2017
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel heart sound denoising method using wavelet packet transform and singular value decomposition (SVD). The technique effectively removes noise, preserving crucial diagnostic information for heart disease recognition.

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    Area of Science:

    • Biomedical Engineering
    • Signal Processing
    • Cardiology

    Background:

    • Cardiac sound interpretation is challenged by noise interference from lungs and environment.
    • This noise obscures vital diagnostic information for heart disease recognition.

    Purpose of the Study:

    • To develop a novel heart sound denoising technique.
    • To improve the accuracy of heart disease recognition by reducing noise in cardiac signals.

    Main Methods:

    • A combined framework of wavelet packet transform and singular value decomposition (SVD) was employed.
    • Mutual information measurement identified the most informative wavelet tree node.
    • SVD processed coefficients to suppress noise from heart sound signals.

    Main Results:

    • Experiments with normal and pathological heart sound datasets demonstrated the technique's efficacy.
    • Statistical analysis validated the significance of the denoising method.
    • K-means clustering confirmed preservation of biological information in denoised signals.

    Conclusions:

    • The proposed heart sound denoising technique outperforms baseline methods.
    • This approach enhances the potential for accurate heart disease diagnosis through improved signal quality.