AIMC Topic: Arrhythmias, Cardiac
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Deep Representation Learning With Sample Generation and Augmented Attention Module for Imbalanced ECG Classification.
IEEE journal of biomedical and health informatics
May 6, 2024
Developing an efficient heartbeat monitoring system has become a focal point in numerous healthcare applications. Specifically, in the last few years, heartbeat classification for arrhythmia detection has gained considerable interest from researchers...
Arrhythmia detection by the graph convolution network and a proposed structure for communication between cardiac leads.
BMC medical research methodology
Apr 27, 2024
One of the most common causes of death worldwide is heart disease, including arrhythmia. Today, sciences such as artificial intelligence and medical statistics are looking for methods and models for correct and automatic diagnosis of cardiac arrhythm...
Heart patient health monitoring system using invasive and non-invasive measurement.
Scientific reports
Apr 26, 2024
The abnormal heart conduction, known as arrhythmia, can contribute to cardiac diseases that carry the risk of fatal consequences. Healthcare professionals typically use electrocardiogram (ECG) signals and certain preliminary tests to identify abnorma...
Applying Artificial Intelligence for Phenotyping of Inherited Arrhythmia Syndromes.
The Canadian journal of cardiology
Apr 24, 2024
Inherited arrhythmia disorders account for a significant proportion of sudden cardiac death, particularly among young individuals. Recent advances in our understanding of these syndromes have improved patient diagnosis and care, yet certain clinical ...
Classification Method of ECG Signals Based on RANet.
Cardiovascular engineering and technology
Apr 23, 2024
BACKGROUND: Electrocardiograms (ECG) are an important source of information on human heart health and are widely used to detect different types of arrhythmias.
Cardiac Arrhythmia Classification Using Advanced Deep Learning Techniques on Digitized ECG Datasets.
Sensors (Basel, Switzerland)
Apr 12, 2024
ECG classification or heartbeat classification is an extremely valuable tool in cardiology. Deep learning-based techniques for the analysis of ECG signals assist human experts in the timely diagnosis of cardiac diseases and help save precious lives. ...
Automated cardiac arrhythmia detection techniques: a comprehensive review for prospective approach.
Computer methods in biomechanics and biomedical engineering
Apr 2, 2024
Abnormal cardiac functionality produces irregular heart rhythms which are commonly known as arrhythmias. In some conditions, arrhythmias are treated as very dangerous which may lead to sudden cardiac arrest. The incidence and prevalence of cardiac an...
Impact of artificial intelligence arrhythmia mapping on time to first ablation, procedure duration, and fluoroscopy use.
Journal of cardiovascular electrophysiology
Mar 4, 2024
INTRODUCTION: Artificial intelligence (AI) ECG arrhythmia mapping provides arrhythmia source localization using 12-lead ECG data; whether this information impacts procedural efficiency is unknown. We performed a retrospective, case-control study to e...
Operative Time
Predictive Value of Tests
Fluoroscopy
Arrhythmias, Cardiac
Heart Rate
Catheter Ablation
Electrocardiography
Treatment Outcome
Action Potentials
Case-Control Studies
Time Factors
Time-to-Treatment
Electrophysiologic Techniques, Cardiac
Humans
Aged
Male
Artificial Intelligence
Middle Aged
Retrospective Studies
Female
Monitoring of Remotely Reprogrammable Implantable Loop Recorders With Algorithms to Reduce False-Positive Alerts.
Journal of the American Heart Association
Feb 23, 2024
BACKGROUND: Implantable loop recorders (ILRs) are increasingly placed for arrhythmia detection. However, historically, ≈75% of ILR alerts are false positives, requiring significant time and effort for adjudication. The LINQII and LUX-Dx are remotely ...
Person identification with arrhythmic ECG signals using deep convolution neural network.
Scientific reports
Feb 23, 2024
Over the past decade, the use of biometrics in security systems and other applications has grown in popularity. ECG signals in particular are attracting increased attention due to their characteristics, which are required for a trustworthy identifica...
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