A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram

N Musa, AY Gital, N Aljojo, H Chiroma… - Journal of ambient …, 2023 - Springer
The success of deep learning over the traditional machine learning techniques in handling
artificial intelligence application tasks such as image processing, computer vision, object …

Natural intelligence as the brain of intelligent systems

M Naghshvarianjahromi, S Kumar, MJ Deen - Sensors, 2023 - mdpi.com
This article discusses the concept and applications of cognitive dynamic systems (CDS),
which are a type of intelligent system inspired by the brain. There are two branches of CDS …

Heartbeat classification by using a convolutional neural network trained with Walsh functions

Z Dokur, T Ölmez - Neural Computing and Applications, 2020 - Springer
From recent studies, it is observed that convolutional neural networks are proved to be
extremely successful in classification problems. Accurate and fast classification of …

[HTML][HTML] Explainable artificial intelligence for heart rate variability in ECG signal

K Sanjana, V Sowmya, EA Gopalakrishnan… - Healthcare …, 2020 - ncbi.nlm.nih.gov
Electrocardiogram (ECG) signal is one of the most reliable methods to analyse the
cardiovascular system. In the literature, there are different deep learning architectures …

[PDF][PDF] Improving stroke diagnosis accuracy using hyperparameter optimized deep learning

T Badriyah, DB Santoso, I Syarif, DR Syarif - International Journal of …, 2019 - core.ac.uk
Cerebrovascular stroke or injury (CVA) is a loss of brain function caused by the sudden
cessation of blood supply to parts of the brain. It is a condition that arises due to circulatory …

Brain-inspired intelligence for real-time health situation understanding in smart e-health home applications

M Naghshvarianjahromi, S Kumar, MJ Deen - IEEE Access, 2019 - ieeexplore.ieee.org
The autonomic computing layer of the smart e-Health home based on a cognitive dynamic
system (CDS) can be a solution for improving health situation understanding, reducing the …

The Applications of Deep Learning in ECG Classification for Disease Diagnosis: A Systematic Review and Meta-Data Analysis

M Khalid, C Pluempitiwiriyawej, S Wangsiripitak… - Engineering …, 2024 - engj.org
The supremacy of deep learning in artificial intelligence (AI) contexts, including image and
speech recognition, computer vision, and medical imaging, among others, has established it …

Cardiac Arrhythmia Disease Classifier Model Based on a Fuzzy Fusion Approach

F Taher, H Alshammari, L Osman… - … Materials & Continua, 2023 - zuscholars.zu.ac.ae
Cardiac diseases are one of the greatest global health challenges. Due to the high annual
mortality rates, cardiac diseases have attracted the attention of numerous researchers in …

Exploring deep learning approaches for cardiac arrhythmia diagnosis

MS Supriya, L Yashaswini… - Artificial Intelligence in …, 2024 - books.google.com
Heart-related issues are becoming more prevalent every day. Heart health is greatly
impacted by three main factors: emotional stress, physical stress, and psychiatric stress [1] …

Early Ischemic Stroke Detection Using Deep Learning: A Systematic Literature Review

K Tan, YA Marvell… - 2023 International Seminar …, 2023 - ieeexplore.ieee.org
Stroke is a medical condition in which poor blood flow to the brain causes cell death and
causes the brain to stop functioning properly. There are two types of strokes, which is …