A comprehensive survey on multimodal medical signals fusion for smart healthcare systems
Smart healthcare is a framework that utilizes technologies such as wearable devices, the
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …
A comprehensive survey of the Internet of Things (IoT) and AI-based smart healthcare
F Alshehri, G Muhammad - IEEE access, 2020 - ieeexplore.ieee.org
Smart health care is an important aspect of connected living. Health care is one of the basic
pillars of human need, and smart health care is projected to produce several billion dollars …
pillars of human need, and smart health care is projected to produce several billion dollars …
Efficient deep learning approach for augmented detection of Coronavirus disease
The new Coronavirus disease 2019 (COVID-19) is rapidly affecting the world population
with statistics quickly falling out of date. Due to the limited availability of annotated …
with statistics quickly falling out of date. Due to the limited availability of annotated …
Deep Learning for EEG motor imagery classification based on multi-layer CNNs feature fusion
Electroencephalography (EEG) motor imagery (MI) signals have recently gained a lot of
attention as these signals encode a person's intent of performing an action. Researchers …
attention as these signals encode a person's intent of performing an action. Researchers …
Machine learning at the network edge: A survey
Resource-constrained IoT devices, such as sensors and actuators, have become ubiquitous
in recent years. This has led to the generation of large quantities of data in real-time, which …
in recent years. This has led to the generation of large quantities of data in real-time, which …
Edge intelligence and Internet of Things in healthcare: A survey
SU Amin, MS Hossain - Ieee Access, 2020 - ieeexplore.ieee.org
With the advent of new technologies and the fast pace of human life, patients today require a
sophisticated and advanced smart healthcare framework that is tailored to suit their …
sophisticated and advanced smart healthcare framework that is tailored to suit their …
Cervical cancer classification using convolutional neural networks and extreme learning machines
Cervical cancer is one of the main reasons of death from cancer in women. The complication
of this cancer can be limited if it is diagnosed and treated at an early stage. In this paper, we …
of this cancer can be limited if it is diagnosed and treated at an early stage. In this paper, we …
Deep learning-based approach for sign language gesture recognition with efficient hand gesture representation
Hand gesture recognition is an attractive research field with a wide range of applications,
including video games and telesurgery techniques. Another important application of hand …
including video games and telesurgery techniques. Another important application of hand …
{CT-GAN}: Malicious tampering of 3d medical imagery using deep learning
In 2018, clinics and hospitals were hit with numerous attacks leading to significant data
breaches and interruptions in medical services. An attacker with access to medical records …
breaches and interruptions in medical services. An attacker with access to medical records …
Cognitive smart healthcare for pathology detection and monitoring
We propose a cognitive healthcare framework that adopts the Internet of Things (IoT)-cloud
technologies. This framework uses smart sensors for communications and deep learning for …
technologies. This framework uses smart sensors for communications and deep learning for …