Articles added in the last year, sorted by date

TLFT: Transfer Learning and Fourier Transform for ECG Classification

E Wang, S Lee�- medRxiv, 2024 - medrxiv.org
9 days ago - Electrocardiogram (ECG) provides a non-invasive method for identifying
cardiac issues, particularly arrhythmias or irregular heartbeats. In recent years, the fields of�…

[HTML][HTML] Advanced integration of 2DCNN-GRU model for accurate identification of shockable life-threatening cardiac arrhythmias: a deep learning approach

AS Ba Mahel, S Cao, K Zhang, SA Chelloug…�- Frontiers in�…, 2024 - frontiersin.org
32 days ago - Cardiovascular diseases remain one of the main threats to human health,
significantly affecting the quality and life expectancy. Effective and prompt recognition of�…

On the Origin of Cardiovascular Sounds Recorded from the Ear

B G�rdb�k, P Kidmose�- Authorea Preprints, 2024 - techrxiv.org
42 days ago - It has been conjectured that sounds recorded at the ear, using microphones,
originate from either heart sounds propagating from the heart to the recording site, through�…

Self-Trained Model for ECG Complex Delineation

A Avetisyan, N Khachaturov, A Asatryan…�- arXiv preprint arXiv�…, 2024 - arxiv.org
46 days ago - Electrocardiogram (ECG) delineation plays a crucial role in assisting
cardiologists with accurate diagnoses. Prior research studies have explored various�…

Anchor-Based, Real-Time Motion Compensation for High-Resolution mmWave Radar

N Poole, A Arbabian�- IEEE Journal of Microwaves, 2024 - ieeexplore.ieee.org
57 days ago - In the modern domain of edge sensing and physically compact smart devices,
mmWave radar has emerged as a prominent modality, simultaneously offering high�…

[PDF][PDF] Comparative Analysis of Q-factor For Notch Filter Designing in Cardiological Signal Processing

R Gupta, S Bhandari, S Kaur - academia.edu
66 days ago - Electrocardiogram is a signal which measures the electrical activity of the
heart. Normal heart beat for human is 70 cycles per minute. Any change in natural sequence�…

Development of A Medical Decision Support System For Early Detection Of Cardiac Disorders

S Sumathi, S Ponlatha�- Robotics and Automation in Healthcare, 2024 - taylorfrancis.com
88 days ago - This chapter explains how to reduce ECG noise and quickly find QRS complex
detection using cubic spline waveform technology. This clinical application is best suited for�…

[HTML][HTML] Multi-channel delineation of intracardiac electrograms for arrhythmia substrate analysis using implicitly regularized convolutional neural network with wide�…

J Hejc, R Redina, J Kolarova, Z Starek�- Biomedical Signal Processing and�…, 2024 - Elsevier
102 days ago - Objective Automated segmentation of intracardiac electrograms and extraction
of fundamental cycle length intervals is crucial for reproducible arrhythmia substrate analysis�…

[HTML][HTML] A New and Lightweight R-Peak Detector Using the TEDA Evolving Algorithm

LMD Silva, SN Silva, LC Souza, KS Azevedo…�- Machine Learning and�…, 2024 - mdpi.com
113 days ago - The literature on ECG delineation algorithms has seen significant growth in
recent decades. However, several challenges still need to be addressed. This work aims to�…

[PDF][PDF] CLASSIFICATION OF DANGEROUS ARRHYTHMIAS USING ECG SCALOGRAMS WITH DEEP CONVOLUTIONAL NEURAL NETWORKS

O Mamyrbayev, D Oralbekova…�- Journal of Problems�…, 2024 - researchgate.net
114 days ago - Аbstract. In modern medicine, the problem of detecting and classifying life-
threatening arrhythmias based on ECG data remains relevant and critically important for�…