A literature review: ecg-based models for arrhythmia diagnosis using artificial intelligence techniques

A Boulif, B Ananou, M Ouladsine… - … and Biology Insights, 2023 - journals.sagepub.com
In the health care and medical domain, it has been proven challenging to diagnose correctly
many diseases with complicated and interferential symptoms, including arrhythmia …

Reconstructing the photoacoustic image with high quality using the deep neural network model

A Gopalan, O Vignesh, R Anusuya… - Contrast Media & …, 2023 - Wiley Online Library
The range of diagnostic equipment has been widened and improved by the quick
development of biomedical research technologies. The creation of multifunctional …

[Retracted] Utilization of Bioinorganic Nanodrugs and Nanomaterials for the Control of Infectious Diseases Using Deep Learning

R Priyadarshini, AS Abdullah… - BioMed Research …, 2023 - Wiley Online Library
As one of the main causes of morbidity and mortality, viral infections have a major impact on
the well‐being and economics of every nation in the globe. The ability to predictably …

CoSense: Deep Learning Augmented Sensing for Coexistence with Networking in Millimeter-Wave Picocells

H Regmi, S Sur - ACM Transactions on Internet of Things, 2024 - dl.acm.org
We present CoSense, a system that enables coexistence of networking and sensing on next-
generation millimeter-wave (mmWave) picocells for traffic monitoring and pedestrian safety …

An improved cuckoo search algorithm with deep learning approach for classifying arrhythmia based on ECG signal

D Srinivas, I Bhuvaneshwarri, GP Ramesh… - Internet Technology … - Wiley Online Library
Arrhythmias are variations in the heartbeat rhythm that occur frequently in a human's life.
These arrhythmias can result in potentially deadly consequences, putting one's life in …

Cardiac arrhythmias detection framework based on higher-order spectral distribution with deep learning

S Karthikeyani, S Sasipriya, M Ramkumar - Biomedical Signal Processing …, 2024 - Elsevier
In this article, a new framework for arrhythmia identification using higher-order spectral
distributions and deep learning approaches has been proposed. The input signal is first pre …

Modeling of Improved Sine Cosine Algorithm with Optimal Deep Learning-Enabled Security Solution

L Almuqren, M Maray, SS Aljameel, R Allafi, AA Alneil - Electronics, 2023 - mdpi.com
Artificial intelligence (AI) acts as a vital part of enhancing network security using intrusion
detection and anomaly detection. These AI-driven approaches have become essential …

Experimental evaluation of artificial intelligence assisted heart disease prediction using deep learning principle

S Deepa, T Sripriya, M Radhika - The Scientific Temper, 2023 - scientifictemper.com
The system for detecting cardiac illness utilizing Artificial Intelligence (AI) and deep learning
algorithms is the main topic of the study. Researchers demonstrate how artificial intelligence …

Enhanced Heart Arrhythmia Detection Using Ensemble Learning and Statistical Wave Interval Analysis: A Proposal for Mobile Integrated Diagnostic Systems

S Shookdeb, A Raj, S Rakshit… - 2024 15th …, 2024 - ieeexplore.ieee.org
In today's modern era, heart attack and heart arrhythmia stand out as two prevalent and
significant cardiac concerns that can impact individuals of any age. They result in harm to …

Arrhythmia Identification and Classification using Runge Kutta Optimizer-Based Hyperparameter Optimization for Long Short Term Memory

M Sinnoor, SK Janardhan - Journal of The Institution of Engineers (India) …, 2024 - Springer
Arrhythmia denotes to the abnormalities in the rhythm of the heartbeat experienced by
individuals. The arrhythmia potentially causes fatal difficulties that lead to the sudden risk to …