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Related Concept Videos

Rheumatic Heart Disease I: Introduction01:23

Rheumatic Heart Disease I: Introduction

40
Rheumatic heart disease or RHD is a chronic condition that results from rheumatic fever, causing permanent damage to the heart valves.Etiology and Risk FactorsIt primarily arises from rheumatic fever, an inflammatory disease that can develop after untreated or inadequately treated group A streptococcal (GAS) pharyngitis. Streptococcus spreads through direct contact with oral or respiratory secretions. While the bacteria are the causative agents, factors like malnutrition, overcrowding, poor...
40
Rheumatic Heart Disease II: Clinical Manifestations and Diagnostic Studies01:22

Rheumatic Heart Disease II: Clinical Manifestations and Diagnostic Studies

57
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...
57
Rheumatic Heart Disease III: Medical Management01:21

Rheumatic Heart Disease III: Medical Management

32
Rheumatic heart disease (RHD) management can be divided into two main strategies: prevention and long-term management.Primary PreventionPrimary prevention focuses on timely diagnosis and management of group A streptococcal pharyngitis to prevent acute rheumatic fever. The most widely used antibiotic for treating this condition is intramuscular benzathine penicillin G.Acute Rheumatic Fever TreatmentThe primary treatment goal for a patient diagnosed with acute rheumatic fever is to suppress the...
32
Rheumatic Heart Disease IV: Nursing Management01:20

Rheumatic Heart Disease IV: Nursing Management

38
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...
38
Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

285
Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...
285
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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Related Experiment Video

Updated: Sep 11, 2025

Author Spotlight: Implementation of BIVA for Analyzing Disease Risk Factors in Patients with Low Body Cell Mass
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Daily Living Activity Dataset of Juvenile Rheumatic Patients From Wearables Data.

Andrea Fasciglione, Maurizio Leotta, Alessandro Verri

    IEEE Journal of Biomedical and Health Informatics
    |August 11, 2025
    PubMed
    Summary

    Researchers created a new wearable sensor dataset for children with chronic diseases. This data enables machine learning for remote monitoring of disease progression using activity recognition.

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    Area of Science:

    • Biomedical Engineering
    • Clinical Informatics
    • Pediatric Rheumatology

    Background:

    • Wearable sensors are increasingly used in clinical evaluations.
    • Activity recognition from wearable devices shows potential for monitoring chronic disease progression.
    • Existing datasets for pediatric chronic diseases using wearables are scarce.

    Purpose of the Study:

    • To present and describe a novel dataset collected from pediatric patients with chronic diseases using wearable accelerometers.
    • To facilitate the development of machine learning models for objective, remote assessment of chronic disease severity and progression.
    • To address the limited availability of pediatric wearable sensor data for research.

    Main Methods:

    • Collected data using FDA-approved wearable accelerometers placed on the wrist and ankle.
    • Included pediatric patients aged 2-18 years with chronic diseases and age-matched healthy controls.
    • Selected activities of daily living in collaboration with medical specialists to capture disease-relevant functional abilities.

    Main Results:

    • A new, publicly accessible dataset of wearable sensor data from pediatric patients with chronic diseases has been created.
    • The dataset captures activities of daily living relevant to potential functional impairments caused by chronic conditions.
    • This resource supports the development of advanced machine learning algorithms for disease monitoring.

    Conclusions:

    • The presented dataset is a valuable resource for the scientific community to develop innovative methods for chronic disease management in children.
    • Enables remote, objective, and non-intrusive assessment of disease severity and progression.
    • Promotes further research in leveraging wearable technology for pediatric healthcare.