A systematic review of machine learning and IoT applied to the prediction and monitoring of cardiovascular diseases
A Cuevas-Chavez, Y Hernandez, J Ortiz-Hernandez… - Healthcare, 2023 - mdpi.com
According to the Pan American Health Organization, cardiovascular disease is the leading
cause of death worldwide, claiming an estimated 17.9 million lives each year. This paper …
cause of death worldwide, claiming an estimated 17.9 million lives each year. This paper …
A novel automated CNN arrhythmia classifier with memory-enhanced artificial hummingbird algorithm
E Kıymaç, Y Kaya - Expert Systems with Applications, 2023 - Elsevier
Cardiac arrhythmias indicate cardiovascular disease which is the leading cause of mortality
worldwide, and can be detected by an electrocardiogram (ECG). Automated deep learning …
worldwide, and can be detected by an electrocardiogram (ECG). Automated deep learning …
A systematic review of applying grey wolf optimizer, its variants, and its developments in different Internet of Things applications
Abstract The Internet of Things (IoT) shapes an organization of objects that can interface and
share information with different devices using sensors, computer programs, and other …
share information with different devices using sensors, computer programs, and other …
Swarm intelligence empowered three-stage ensemble deep learning for arm volume measurement in patients with lymphedema
Arm lymphedema is mostly a side effect of the breast cancer surgery and radiation therapy,
which may happen after the cancer treatment. Arm volume in patients with lymphedema …
which may happen after the cancer treatment. Arm volume in patients with lymphedema …
A novel proposed CNN–SVM architecture for ECG scalograms classification
Nowadays, the number of sudden deaths due to heart disease is increasing with the
coronavirus pandemic. Therefore, automatic classification of electrocardiogram (ECG) …
coronavirus pandemic. Therefore, automatic classification of electrocardiogram (ECG) …
Deep image steganography using transformer and recursive permutation
Z Wang, M Zhou, B Liu, T Li - Entropy, 2022 - mdpi.com
Image steganography, which usually hides a small image (hidden image or secret image) in
a large image (carrier) so that the crackers cannot feel the existence of the hidden image in …
a large image (carrier) so that the crackers cannot feel the existence of the hidden image in …
An efficient honey badger based Faster region CNN for chronc heart Failure prediction
SI Sherly, G Mathivanan - Biomedical Signal Processing and Control, 2023 - Elsevier
If the blood circulation of the heart is not adequate then it causes arrhythmias and
Congestive Heart Failure (CHF) which requires immediate medical attention or else it leads …
Congestive Heart Failure (CHF) which requires immediate medical attention or else it leads …
Automated Arrhythmia Classification Using Farmland Fertility Algorithm with Hybrid Deep Learning Model on Internet of Things Environment
In recent years, the rapid progress of Internet of Things (IoT) solutions has offered an
immense opportunity for the collection and dissemination of health records in a central data …
immense opportunity for the collection and dissemination of health records in a central data …
RL-ECGNet: resource-aware multi-class detection of arrhythmia through reinforcement learning
Arrhythmia is a fatal cardiac clinical condition that risks the lives of millions every year. It has
multiple classes with variable prevalence rates. Some rare arrhythmia classes are equally …
multiple classes with variable prevalence rates. Some rare arrhythmia classes are equally …
A self-adjusting ant colony clustering algorithm for ECG arrhythmia classification based on a correction mechanism
N Li, L Liu, Z Yang, S Qin - Computer Methods and Programs in …, 2023 - Elsevier
Background and objective As a representative type of cardiovascular disease, persistent
arrhythmias can often become life-threatening. In recent years, machine learning-based …
arrhythmias can often become life-threatening. In recent years, machine learning-based …