Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Pulse rhythm

Pulse rhythm

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...

Holter Monitor: 24-Hour Monitoring

Holter Monitor: 24-Hour Monitoring

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Differential contribution of T-type voltage-gated calcium channels to vascular reactivity in the aorta and renal artery of healthy rabbits.

Experimental physiology·2025

Same author

Cognitive Agents in Urban Mobility: Integrating LLM Reasoning into Multi-Agent Simulations.

Sensors (Basel, Switzerland)·2025

Same author

AI for Sustainable Recycling: Efficient Model Optimization for Waste Classification Systems.

Sensors (Basel, Switzerland)·2025

Same author

Personalized Cognitive Support via Social Robots.

Sensors (Basel, Switzerland)·2025

Same author

Histone Deacetylase Inhibitors as a Promising Treatment Against Myocardial Infarction: A Systematic Review.

Journal of clinical medicine·2025

Same author

Effect of Probiotics on Gastrointestinal Health Through the Aryl Hydrocarbon Receptor Pathway: A Systematic Review.

Foods (Basel, Switzerland)·2024

Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Nov 24, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

An IoT and Fog Computing-Based Monitoring System for Cardiovascular Patients with Automatic ECG Classification Using

Jaime A Rincon¹, Solanye Guerra-Ojeda², Carlos Carrascosa¹

¹Institut Valencià d'Investigació en Intel·ligència Artificial (VRAIN), Universitat Politècnica de València, 46022 València, Spain.

Sensors (Basel, Switzerland)

|December 29, 2020

Summary

This summary is machine-generated.

This study introduces an IoT system for remote heart monitoring using AI to detect atrial fibrillation from ECG signals. The system achieved 90% accuracy, aiding physician diagnosis and improving cardiovascular care.

Keywords:

ECG Edge-AI Fog-AI IoT LoRa cardiovascular diseases

More Related Videos

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

Related Experiment Videos

Last Updated: Nov 24, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

Area of Science:

Cardiology
Biomedical Engineering
Artificial Intelligence

Background:

Telemedicine and remote monitoring systems offer cost-effective solutions in cardiology.
Continuous patient monitoring is crucial for timely diagnosis and treatment of cardiovascular conditions.

Purpose of the Study:

To present an Internet of Things (IoT)-based monitoring system for cardiovascular patients.
To integrate an Artificial Intelligence (AI) algorithm for automated detection of heart rhythm abnormalities.

Main Methods:

Utilized the LoRa communication protocol to transmit ECG signals to a Fog layer service.
Developed and applied a deep learning AI algorithm, specifically two merged MobileNet networks, for arrhythmia detection.
Evaluated system performance on a dataset comprising 8,528 short, single-lead ECG records.

Main Results:

The AI algorithm achieved 90% accuracy in classifying Atrial Fibrillation.
Demonstrated the system's capability for automatic detection of heart rhythms.
The system provides complementary diagnostic data to physicians.

Conclusions:

The proposed IoT system effectively monitors cardiovascular patients remotely.
AI-driven arrhythmia detection enhances diagnostic accuracy and supports clinical decision-making.
This technology holds significant potential for improving cardiovascular patient management and outcomes.