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Related Concept Videos

Pulse rhythm01:30

Pulse rhythm

892
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...
892
Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

119
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...
119
Heart Failure VI: Adjunct Therapies01:22

Heart Failure VI: Adjunct Therapies

23
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.
23
Heart Failure V: Medical Management01:30

Heart Failure V: Medical Management

19
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...
19
Cardiomyopathy V: Interprofessional Care01:29

Cardiomyopathy V: Interprofessional Care

25
Managing cardiomyopathy involves addressing underlying or precipitating causes, treating heart failure with medications, and implementing dietary changes and a balanced exercise and rest regimen.Lifestyle ModificationsCardiomyopathy patients should adopt a low-sodium diet to reduce fluid retention and manage heart failure. A personalized exercise and rest plan helps maintain physical fitness without overstraining the heart. Avoiding alcohol and tobacco is essential to prevent further damage to...
25
Heart Failure Drugs: Inhibitors of Renin-Angiotensin System01:26

Heart Failure Drugs: Inhibitors of Renin-Angiotensin System

482
The activation of the sympathetic nervous system and the renin-angiotensin-aldosterone system (RAAS) contributes to cardiac remodeling, and inhibiting the RAAS is a pharmacological target in heart failure management. As a result, neurohumoral modulation is a crucial treatment principle for managing heart failure. This approach involves using medications like ACE inhibitors (ACEIs), angiotensin receptor blockers (ARBs), β-blockers, mineralocorticoid receptor antagonists (MRAs), and neutral...
482

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Related Experiment Video

Updated: Aug 16, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
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Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications.

Nitesh Gautam1, Sai Nikhila Ghanta1, Joshua Mueller2

  • 1Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.

Diagnostics (Basel, Switzerland)
|December 23, 2022
PubMed
Summary

Artificial intelligence and machine learning (AI/ML) show promise in reducing heart failure (HF) hospitalizations using remote monitoring data. Challenges include data integration and privacy concerns for AI/ML healthcare applications.

Keywords:
heart failuremachine learningpressure sensorsremote monitoringtime-series analysis

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Area of Science:

  • Cardiology and Digital Health
  • Artificial Intelligence in Healthcare

Background:

  • Heart failure (HF) management has seen reduced mortality but increased hospitalizations.
  • Digitalization and remote monitoring offer potential to transform ambulatory care and reduce HF admissions.
  • Artificial intelligence and machine learning (AI/ML) are increasingly used for data integration and predictive modeling in healthcare.

Purpose of the Study:

  • To review the fundamentals of AI/ML algorithms, focusing on time series forecasting.
  • To examine the current application of AI/ML in wearable technology for heart failure management.
  • To discuss the limitations and challenges of implementing AI/ML in HF remote monitoring.

Main Methods:

  • Review of AI/ML algorithms, particularly time series forecasting techniques.
  • Analysis of current research on AI/ML integration with wearable devices for HF.
  • Discussion of challenges including data integration, privacy, and healthcare-specific AI/ML hurdles.

Main Results:

  • AI/ML algorithms can process complex, multidimensional data from remote monitoring.
  • Wearable technology combined with AI/ML holds potential for improving HF patient outcomes and reducing hospitalizations.
  • Significant challenges remain in data integration, patient privacy, and regulatory compliance for AI/ML in healthcare.

Conclusions:

  • AI/ML, especially time series forecasting on remote monitoring data, offers a promising avenue to reduce heart failure hospitalizations.
  • Further research and development are needed to overcome current limitations for widespread clinical adoption.
  • Addressing data integration, privacy, and healthcare-specific AI/ML challenges is crucial for realizing the full potential of these technologies in HF care.