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Related Concept Videos

Assessment of radial pulse01:11

Assessment of radial pulse

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Assessment of Radial Pulse
The radial pulse, located at the wrist, is often the preferred site for assessing peripheral pulse because of its accessibility and dependability. The process of determining the radial pulse involves several steps:
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Assessment of apical radial pulse01:25

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Apical-Radial (A-R) Pulse Assessment
The A-R pulse assessment involves simultaneous evaluation of the apical and radial pulses. When the apical and radial pulse rates vary, this assessment helps identify a pulse deficit.
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This procedural guide systematically measures blood pressure using an oscillometric digital sphygmomanometer, emphasizing accuracy, patient safety, and comfort.
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Assessing Blood pressure using a doppler ultrasound01:19

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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.
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Assessment of blood pressure in brachial artery(two-step method)01:23

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Measuring blood pressure is a fundamental skill in healthcare that aids in diagnosing and monitoring hypertension and other cardiovascular conditions. An aneroid sphygmomanometer, commonly used in clinical settings, offers a manual and precise method for blood pressure measurement. The technique for using this instrument involves specific steps that must be carefully executed to ensure accuracy. The following detailed description outlines a two-step technique for assessing blood pressure using...
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Pulse rhythm01:30

Pulse rhythm

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Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
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Related Experiment Video

Updated: Jan 9, 2026

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
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Gyrosphygmogram: A Novel Wrist-based Wearable Method for Heart Rate Variability Assessment.

Nadia Yaghoobi, Edward J Park

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    Summary

    This study introduces the Gyrosphygmogram (GSG), a novel wrist-based signal for heart rate variability (HRV) analysis. GSG offers a practical, accurate, and robust alternative to traditional methods for continuous cardiovascular monitoring.

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    Area of Science:

    • Biomedical Engineering
    • Cardiovascular Physiology
    • Wearable Technology

    Background:

    • Traditional heart rate variability (HRV) analysis relies on electrocardiograms (ECG) or chest-based gyrocardiography (GCG).
    • Existing methods can be cumbersome or susceptible to motion artifacts, limiting continuous monitoring.
    • There is a need for practical, accurate, and robust wearable solutions for cardiovascular health assessment.

    Purpose of the Study:

    • To introduce the Gyrosphygmogram (GSG), a novel gyroscopic signal derived from wrist arterial wall motion.
    • To evaluate GSG's efficacy for HRV analysis as a complement to ECG and GCG.
    • To assess GSG's practicality, comfort, and robustness against motion artifacts compared to GCG.

    Main Methods:

    • Developed a novel algorithm for independent peak detection in GSG and GCG signals, independent of ECG.
    • Collected GSG data at the wrist using advanced inertial measurement units (IMUs).
    • Compared GSG-derived HRV metrics with ECG-derived metrics and GCG-derived metrics.

    Main Results:

    • Achieved accurate and independent peak detection in GSG and GCG signals.
    • Demonstrated strong correlations between GSG and ECG-derived HRV metrics.
    • GSG exhibited reduced error margins compared to GCG for HRV analysis.
    • GSG showed enhanced practicality, comfort, and robustness to motion artifacts.

    Conclusions:

    • The Gyrosphygmogram (GSG) is a promising novel signal for HRV analysis.
    • GSG offers a practical and efficient solution for continuous, real-time cardiovascular monitoring.
    • GSG has significant potential for integration into wearable health devices.