AIMC Topic: Arrhythmias, Cardiac

Clear Filters Showing 71 to 80 of 287 articles

Automated Arrhythmia Classification Using Farmland Fertility Algorithm with Hybrid Deep Learning Model on Internet of Things Environment.

Sensors (Basel, Switzerland) Oct 6, 2023
In recent years, the rapid progress of Internet of Things (IoT) solutions has offered an immense opportunity for the collection and dissemination of health records in a central data platform. Electrocardiogram (ECG), a fast, easy, and non-invasive me...
Algorithms Farms Humans Arrhythmias, Cardiac Internet of Things Deep Learning Electrocardiography
View on PubMed DOI

Deep learning-mediated prediction of concealed accessory pathway based on sinus rhythmic electrocardiograms.

Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc Aug 2, 2023
BACKGROUND: Concealed accessory pathway (AP) may cause atrial ventricular reentrant tachycardia impacting the health of patients. However, it is asymptomatic and undetectable during sinus rhythm.
Electrocardiography Accessory Atrioventricular Bundle Arrhythmias, Cardiac Tachycardia, Ventricular Tachycardia, Supraventricular Humans Deep Learning
View on PubMed DOI

Mud Ring Optimization Algorithm with Deep Learning Model for Disease Diagnosis on ECG Monitoring System.

Sensors (Basel, Switzerland) Jul 26, 2023
Due to the tremendous growth of the Internet of Things (IoT), sensing technologies, and wearables, the quality of medical services has been enhanced, and it has shifted from standard medical-based health services to real time. Commonly, the sensors c...
Humans Electrocardiography Cardiovascular Diseases Arrhythmias, Cardiac Signal Processing, Computer-Assisted Deep Learning Algorithms Computers
View on PubMed DOI

A framework for comparative study of databases and computational methods for arrhythmia detection from single-lead ECG.

Scientific reports Jul 19, 2023
Arrhythmia detection from ECG is an important area of computational ECG analysis. However, although a large number of public ECG recordings are available, most research uses only few datasets, making it difficult to estimate the generalizability of t...
Signal Processing, Computer-Assisted Arrhythmias, Cardiac Databases, Factual Electrocardiography Neural Networks, Computer Algorithms Humans
View on PubMed DOI

CS-based multi-task learning network for arrhythmia reconstruction and classification using ECG signals.

Physiological measurement Jul 5, 2023
. Although deep learning-based current methods have achieved impressive results in electrocardiograph (ECG) arrhythmia classification issues, they rely on using the original data to identify arrhythmia categories. However, a large amount of data gene...
Humans Electrocardiography Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms Arrhythmias, Cardiac Pressure
View on PubMed DOI

An end-end arrhythmia diagnosis model based on deep learning neural network with multi-scale feature extraction.

Physical and engineering sciences in medicine Jul 1, 2023
This study presents an innovative end-to-end deep learning arrhythmia diagnosis model that aims to address the problems in arrhythmia diagnosis. The model performs pre-processing of the heartbeat signal by automatically and efficiently extracting tim...
Heart Rate Deep Learning Humans Arrhythmias, Cardiac Neural Networks, Computer
View on PubMed DOI

The use of digital health in heart rhythm care.

Expert review of cardiovascular therapy Jun 23, 2023
INTRODUCTION: Digital health is a broad term that includes telecommunication technologies to collect, share and manipulate health information to improve patient health and health care services. With the growing use of wearables, artificial intelligen...
Medication Adherence Artificial Intelligence Humans Machine Learning Arrhythmias, Cardiac
View on PubMed DOI

A neuromorphic physiological signal processing system based on VO memristor for next-generation human-machine interface.

Nature communications Jun 21, 2023
Physiological signal processing plays a key role in next-generation human-machine interfaces as physiological signals provide rich cognition- and health-related information. However, the explosion of physiological signal data presents challenges for ...
Seizures Signal Processing, Computer-Assisted Arrhythmias, Cardiac Neural Networks, Computer Humans Epilepsy
View on PubMed DOI

Leveling Up: A Review of Machine Learning Models in the Cardiac ICU.

The American journal of medicine Jun 19, 2023
Machine learning has emerged as a significant tool to augment the medical decision-making process. Studies have steadily accrued detailing algorithms and models designed using machine learning to predict and anticipate pathologic states. The cardiac ...
Algorithms Intensive Care Units Artificial Intelligence Machine Learning Humans Arrhythmias, Cardiac
View on PubMed DOI

Transformer-based temporal sequence learners for arrhythmia classification.

Medical & biological engineering & computing Jun 6, 2023
An electrocardiogram (ECG) plays a crucial role in identifying and classifying cardiac arrhythmia. Traditional methods employ handcrafted features, and more recently, deep learning methods use convolution and recursive structures to classify heart si...
Electrocardiography Arrhythmias, Cardiac Datasets as Topic Humans Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals