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Related Concept Videos

Heart Sounds01:15

Heart Sounds

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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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Korotkoff Sounds01:12

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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.
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Soundness of Cement01:17

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The soundness of cement refers to the ability of cement paste to retain its volume after setting. Unsound cement can lead to expansion and structural damage due to the presence of free lime, magnesia, and calcium sulfate. Free lime hydrates very slowly, expanding and causing unsoundness, which is difficult to detect because it intercrystallizes with other compounds. Magnesia also reacts with water, forming crystals that can disrupt the cement's structure. Calcium sulfate can create...
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Sound Waves01:01

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Sound waves can be thought of as fluctuations in the pressure of a medium through which they propagate. Since the pressure also makes the medium's particles vibrate along its direction of motion, the waves can be modeled as the displacement of the medium's particles from their mean position.
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Sound Intensity00:58

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The loudness of a sound source is related to how energetically the source is vibrating, consequently making the molecules of the propagation medium vibrate. To measure the loudness of a source, the physical quantity of interest is the intensity. This is defined as the energy emitted per unit of time per unit of area perpendicular to the sound wave's propagation direction. Since the total energy is greater if the source vibrates for a longer duration and over a larger area, dividing the...
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Speed of Sound in Gases01:08

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The speed of sound in a gaseous medium depends on various factors. Since gases constitute molecules that are free to move, they are highly compressible. Hence, sound waves travel slowly through gases. Thermodynamics helps us understand the relationship between pressure, volume, and temperature of gases, thus, the speed of sound in an ideal gas can be determined using the laws of thermodynamics. At the same time, Newton's laws of motion and the continuity equation of fluid dynamics also come...
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Related Experiment Video

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Radar-Based Heart Sound Detection.

Christoph Will1, Kilin Shi2, Sven Schellenberger2

  • 1Institute for Electronics Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91058, Erlangen, Germany. christoph.will@fau.de.

Scientific Reports
|August 3, 2018
PubMed
Summary
This summary is machine-generated.

Radar systems can now detect heart sounds for touch-free monitoring, simplifying auscultation and improving heartbeat detection. This advancement offers performance competitive with traditional phonocardiography.

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Cardiovascular Monitoring

Background:

  • Traditional vital sign monitoring often relies on touch-based methods like phonocardiography (PCG).
  • Radar systems offer potential for non-contact physiological monitoring, but integrating heart sound detection has been limited.
  • Continuous and touch-free monitoring of heart sounds is a significant advancement in patient care.

Purpose of the Study:

  • To introduce and evaluate a novel method for detecting heart sounds using biomedical radar systems.
  • To demonstrate the feasibility of radar-based heart sound detection as an enhancement to existing radar vital sign monitoring.
  • To compare the performance of radar-based heart sound detection against traditional phonocardiography (PCG) and advanced template matching (ATM) algorithms.

Main Methods:

  • Acquired synchronized vital sign data (radar, PCG, ECG, respiration) from eleven participants.
  • Utilized a hidden semi-Markov model for heart sound detection in both PCG and radar data.
  • Employed an advanced template matching (ATM) algorithm for state-of-the-art radar-based heartbeat detection.
  • Performed morphology analysis and F-score evaluation comparing radar, PCG, and ECG data.

Main Results:

  • High correlation between radar and PCG data for dominant heart sounds S1 (82.97% ± 11.15%) and S2 (80.72% ± 12.16%).
  • Radar-based heart sound detection achieved an F1 score of 92.22% ± 2.07%, closely approximating the PCG score of 94.15% ± 1.61%.
  • The proposed radar method demonstrated superior accuracy in heartbeat timing detection (44.2 ms RMSE) compared to ATM (144.9 ms) and PCG (59.4 ms).

Conclusions:

  • The proposed radar system effectively detects heart sounds, enabling touch-free and continuous monitoring.
  • Radar-based heart sound detection significantly enhances radar-based heartbeat monitoring capabilities.
  • The performance of radar-based heart sound detection is competitive with traditional phonocardiography.