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Related Concept Videos

Pulse rhythm01:30

Pulse rhythm

847
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...
847
Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

59
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...
59
Heart Failure V: Medical Management01:30

Heart Failure V: Medical Management

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Medical Management of Acute Decompensated Heart Failure (ADHF)The primary goals of therapy for patients hospitalized with acute decompensated heart failure (ADHF) include:Relieving symptomsOptimizing volume statusSupporting oxygenation and ventilationMaintaining cardiac output (CO) and end-organ perfusionIdentifying and addressing the cause of ADHFPreventing complicationsProviding patient education on factors precipitating HF exacerbationPlanning for dischargeOngoing monitoring and assessment...
14
Heart Failure VI: Adjunct Therapies01:22

Heart Failure VI: Adjunct Therapies

16
Additional therapies for treating patients with heart failure (HF) may include procedural interventions, supplemental oxygen, the management of sleep disorders, and nutritional therapy.Procedural InterventionsImplantable Cardioverter-Defibrillator: For patients at risk of life-threatening arrhythmias due to severe left ventricular dysfunction, an Implantable Cardioverter-Defibrillator (ICD) can detect and terminate these arrhythmias, preventing sudden cardiac death and improving survival rates.
16
Heart Failure VII: Nursing Interventions01:30

Heart Failure VII: Nursing Interventions

99
The first step in nursing management of a patient with heart failure involves thoroughly assessing the patient's medical history.Subjective Data: Obtain the patient's medical history of coronary artery disease, hypertension, myocardial infarction, and symptoms like dyspnea, orthopnea, and paroxysmal nocturnal dyspnea.Objective Data: Conduct a physical examination to identify findings such as jugular vein distention, pulmonary crackles, tachycardia, murmurs, peripheral edema, and vital signs,...
99
Rheumatic Heart Disease IV: Nursing Management01:20

Rheumatic Heart Disease IV: Nursing Management

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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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A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
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Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System.

Nouf Abdullah Almujally1, Turki Aljrees2, Oumaima Saidani1

  • 1Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces an AI and IoT-based smart health system for real-time heart patient monitoring and disease classification. The system accurately informs patients about their health status and aids in early diagnosis.

Keywords:
IoTdeep learningheart diseasepatient mortality predictionsmart healthcare

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Area of Science:

  • Biomedical Engineering
  • Computer Science
  • Artificial Intelligence

Background:

  • The COVID-19 pandemic accelerated the shift towards online medical services and smart health monitoring systems.
  • Technological advancements, particularly the Internet of Things (IoT) and Artificial Intelligence (AI), are transforming healthcare delivery.
  • Smart homes and smart medical systems are increasingly popular, necessitating advanced data management and decision-making capabilities.

Purpose of the Study:

  • To design and develop an integrated health monitoring system for cardiac patients.
  • To leverage AI and IoT for real-time patient activity tracking and health status updates.
  • To implement machine learning models for accurate disease classification in heart patients.

Main Methods:

  • Development of a health monitoring system integrating Internet of Things (IoT) sensors for data acquisition.
  • Application of Artificial Intelligence (AI) algorithms for processing and managing large volumes of patient data.
  • Implementation of machine learning models for real-time disease classification and patient monitoring.

Main Results:

  • The proposed system enables real-time monitoring of heart patients' activities and health status.
  • Experimental results demonstrate the system's capability for accurate disease classification.
  • The AI and IoT integration facilitates efficient data handling and informed decision-making for patient care.

Conclusions:

  • The AI and IoT-based system offers a robust solution for smart health monitoring of cardiac patients.
  • The system enhances patient engagement by providing timely health status information.
  • The accurate disease classification capabilities support early diagnosis and improved patient outcomes.