A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram
The success of deep learning over the traditional machine learning techniques in handling
artificial intelligence application tasks such as image processing, computer vision, object …
artificial intelligence application tasks such as image processing, computer vision, object …
Natural intelligence as the brain of intelligent systems
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 …
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
From recent studies, it is observed that convolutional neural networks are proved to be
extremely successful in classification problems. Accurate and fast classification of …
extremely successful in classification problems. Accurate and fast classification of …
[HTML][HTML] Explainable artificial intelligence for heart rate variability in ECG signal
Electrocardiogram (ECG) signal is one of the most reliable methods to analyse the
cardiovascular system. In the literature, there are different deep learning architectures …
cardiovascular system. In the literature, there are different deep learning architectures …
[PDF][PDF] Improving stroke diagnosis accuracy using hyperparameter optimized deep learning
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 …
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
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 …
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
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 …
speech recognition, computer vision, and medical imaging, among others, has established it …
Cardiac Arrhythmia Disease Classifier Model Based on a Fuzzy Fusion Approach
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 …
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] …
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 …
causes the brain to stop functioning properly. There are two types of strokes, which is …