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Related Concept Videos

Equipments Used To Measure Blood Pressure01:30

Equipments Used To Measure Blood Pressure

763
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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Assessment of blood pressure in brachial artery(two-step method)01:23

Assessment of blood pressure in brachial artery(two-step method)

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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...
617
Pulse rhythm01:30

Pulse rhythm

717
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.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
717
Assessment of blood pressure in brachial artery(one-step method)01:15

Assessment of blood pressure in brachial artery(one-step method)

546
This procedural guide systematically measures blood pressure using an oscillometric digital sphygmomanometer, emphasizing accuracy, patient safety, and comfort.
Prepare for the Procedure:
546

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Related Experiment Video

Updated: May 10, 2025

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
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Wearable Devices for Quantifying Atrial Fibrillation Burden: A Systematic Review and Bayesian Meta-Analysis.

Ioannis Anagnostopoulos1,2, Dimitrios Vrachatis1,3,4, Maria Kousta1

  • 1Department of Interventional Cardiology and Electrophysiology, Evgenidio Hospital, 11528 Athens, Greece.

Journal of Cardiovascular Development and Disease
|April 25, 2025
PubMed
Summary
This summary is machine-generated.

Wearable devices accurately quantify atrial fibrillation (AF) burden, comparable to traditional ECG methods. This supports their use in clinical research and patient monitoring for improved prognosis.

Keywords:
atrial fibrillationburdenprognosissmartwatcheswearables

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Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Digital Health

Background:

  • Atrial fibrillation (AF) is a common arrhythmia linked to poor prognosis, with AF burden (percentage of time in AF) being a key factor.
  • Reliable AF burden monitoring is crucial for patient management, driving the need for accessible devices like wearables.
  • Current monitoring methods often lack affordability and comfort, highlighting the demand for alternative solutions.

Purpose of the Study:

  • To compare the accuracy of wearable devices against reference ECG monitoring for quantifying atrial fibrillation burden.
  • To assess the potential of wearables in clinical practice for AF management and research.

Main Methods:

  • A systematic literature search was conducted across major electronic databases.
  • Studies comparing AF burden quantification using wearables and reference ECG methods were included.
  • A Bayesian statistical approach was employed for the final analysis of pooled data.

Main Results:

  • Six studies involving 448 patients and over 36,000 hours of recordings were analyzed.
  • Bayesian analysis showed no significant difference in AF burden quantification between wearables and reference ECG methods (mean error 1%).
  • Subgroup analysis of smartwatches yielded similar results, with low heterogeneity and no publication bias detected.

Conclusions:

  • Wearable devices demonstrate comparable accuracy to ECG monitoring for AF burden quantification.
  • Findings support the use of wearables in clinical settings for research and prognostic evaluation.
  • Further research is needed to establish clinical significance and widespread adoption for rhythm control strategies.