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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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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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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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Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...
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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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Electrocardiogram01:29

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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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Related Experiment Video

Updated: Mar 27, 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
|March 25, 2026
PubMed
Summary

A new clinical decision support tool using heart rate variability shows promise for predicting patient deterioration in the emergency department. This sepsis advisor tool is feasible for deployment and perceived to improve care.

Keywords:
clinical decision supportemergency departmentheart rate variabilityprognosticationsepsisseptic shock

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Area of Science:

  • Emergency Medicine
  • Clinical Decision Support Systems
  • Critical Care

Background:

  • Predicting patient deterioration in emergency departments is challenging.
  • 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 lab values in emergency department patients with infection.

Main Methods:

  • A prospective, observational, pilot feasibility study was conducted at two academic health centers.
  • 71 patients with suspected/treated infection underwent electrocardiograph recording for heart rate variability analysis.
  • Physicians and nurses were interviewed to assess usability, value, barriers, and drivers of the Sepsis Advisor tool.

Main Results:

  • 92% of patients had sufficient heart rate variability data for model generation.
  • Key laboratory values like creatinine and lactate were incorporated into predictive models.
  • Physicians and nurses identified communication, improved care, and integration ease as drivers, while interpretation complexity and time constraints were 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 by clinicians to have the potential to enhance patient care and communication.