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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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The key clinical manifestations of Rheumatic heart disease (RHD) include several distinct cardiac symptoms.Carditis, a hallmark of acute rheumatic fever, involves inflammation of the heart's endocardium, myocardium, and pericardium. Chronic RHD often results from recurrent episodes of carditis. Its symptoms include the following:Murmurs are caused by valvular damage, especially to the mitral and aortic valves. Mitral stenosis or regurgitation is common, with characteristic heart murmurs...
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AssessmentA comprehensive assessment is essential in managing a patient with rheumatic heart disease (RHD). Begin with obtaining a detailed medical history, including recent streptococcal infections, a history of rheumatic fever, or previously diagnosed rheumatic heart disease. Assess the patient for symptoms such as fever, chest pain, widespread joint pain (arthralgia), tachycardia, pericardial friction rub, muffled heart sounds, heart murmurs, peripheral edema, subcutaneous nodules, and...
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An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
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Heart failure can be classified in various ways, with the most common classifications based on physical activity limitations, disease progression, severity, and treatment strategies.The Functional Classification of Heart Failure divides patients into four categories based on physical activity limitation due to symptom burden.Class I: Patients in this class have cardiac disease but no physical activity limitations. Ordinary activities like walking, climbing stairs, or routine tasks do not cause...
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Updated: Jan 13, 2026

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
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A Heart Rate Variability-Derived Decision Support Tool for Prognostication in Emergency Department Patients With

Andrew J E Seely1,2,3, Douglas P Barnaby4, Natasha Hudek3

  • 1Department of Thoracic Surgery, Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada, uottawa.ca.

Biomed Research International
|January 12, 2026
PubMed
Summary

Predicting patient deterioration in the emergency department is challenging. A new tool using heart rate variability and lab data shows promise for early sepsis detection and improved patient care.

Keywords:
clinical decision supportemergency departmentheart rate variabilityprognosticationsepsisseptic shock

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Area of Science:

  • Emergency Medicine
  • Clinical Decision Support
  • Physiological Monitoring

Background:

  • Predicting patient deterioration in emergency departments is difficult.
  • Existing prognostic tools for infection-related deterioration lack accuracy.

Purpose of the Study:

  • To evaluate the feasibility of deploying Sepsis Advisor, a clinical decision support tool.
  • To assess the tool's ability to predict deterioration using heart rate variability and laboratory values in emergency department patients with treated infection.

Main Methods:

  • Observational, prospective, pilot feasibility study at two academic health science centers.
  • 71 patients with suspected/treated infection and systemic inflammatory response enrolled.
  • 30-minute electrocardiograph recordings and clinical data collected; predictive model shown observationally to physicians.

Main Results:

  • 65/71 patients (92%) had adequate heart rate variability data for model generation.
  • Clinical data (creatinine, lactate, INR) were incorporated into predictive models.
  • Physicians and nurses identified communication, care improvement, and integration ease as drivers; understanding results and time constraints as barriers.

Conclusions:

  • Observational deployment of a heart rate variability-based clinical decision support tool in the emergency department is feasible.
  • The Sepsis Advisor tool is perceived to have the potential to improve patient care.