Fibromyalgia

AGL-Net: An Efficient Neural Network for EEG-Based Driver Fatigue Detection.

BACKGROUND: In recent years, road traffic safety has become a prominent issue due to the worldwide proliferation of vehicles on roads. The challenge of driver fatigue detection involves balancing the efficiency and accuracy of the detection process. While various detection methods are available, electroencephalography (EEG) is considered the gold standard due to its high precision in terms of dete...

A regression model combined convolutional neural network and recurrent neural network for electroencephalogram-based cross-subject fatigue detection.

Fatigue, one of the most important factors affecting road safety, has attracted many researchers' attention. Most existing fatigue detection methods are based on feature engineering and classification models. The feature engineering is greatly influenced by researchers' domain knowledge, which will lead to a poor performance in fatigue detection, especially in cross-subject experiment design. In a...

Hypomagnesemia and 25-hydroxyvitamin D deficiency in patients with long COVID.

Clinical manifestations related to hypomagnesemia and/or deficiency of vitamin D are frequent in patients with an extended course of coronavirus disea...

A Prototype System for High Frame Rate Ultrasound Imaging based Prosthetic Arm Control.

The creation of unique control methods for a hand prosthesis is still a problem that has to be addressed. The best choice of a human-machine interface...

Fatigue Assessment from Facial Videos using Deep Neural Networks and Engineered Features Informed by Domain Knowledge.

Fatigue impairs cognitive and motor function, potentially leading to mishaps in high-pressure occupations such as aviation and emergency medical servi...

Bio-signals Collecting System for Fatigue Level Classification.

Fatigue is a risk factor that reduces quality of life and work efficiency, and threatens safety in a high-risk environment. However, fatigue is not ye...

Evolution of the newest diagnostic methods for COVID-19: a Chinese perspective.

Coronavirus disease 2019 (COVID-19) has continued to spread globally since late 2019, representing a formidable challenge to the world's healthcare sy...

Driver identification and fatigue detection algorithm based on deep learning.

In order to avoid traffic accidents caused by driver fatigue, smoking and talking on the phone, it is necessary to design an effective fatigue detecti...

Hepatic Hydrothorax Without Ascites: A Diagnostic And Management Challenge.

Hepatic hydrothorax refers to the presence of a pleural effusion (usually >500 mL) in a patient with cirrhosis who does not have other reasons to have...

Health, Digital Health and Decision Support: Sisyphus and Pandora.

The history of medicine is punctuated by conquests, discoveries and revolutions. It is also marked by questioning. It is made of doubts and certaintie...

Natural Language Processing Approaches for Automated Multilevel and Multiclass Classification of Breast Lesions on Free-Text Cytopathology Reports.

PURPOSE: The extensive growth and use of electronic health records (EHRs) and extending medical literature have led to huge opportunities to automate ...

[The future patient monitoring in the bed ward].

Current monitoring of vital signs in hospital wards rely on infrequent manual measurements. This narrative review describes how new wearable devices w...

[Scientific communication to "my" patient].

In scientific communication, "my" patient should be differentiated from the "average" patient of randomized controlled clinical trials. Communication ...

EMG Data Augmentation for Grasp Classification Using Generative Adversarial Networks.

Electromyography (EMG) has been used as an interface for the control of robotic hands for decades but with the improvement of embedded electronics and...

Design Feasibility of an Energy-efficient Wrist Flexion-Extension Exoskeleton using Compliant Beams and Soft Actuators.

Passive and active exoskeletons have been used over recent decades. However, regarding many physiological systems, we see that the majority explore bo...

Increase and Decrease in Velocity and Force During Exercise with a Hybrid Robotic-FES Rehabilitation System.

Early rehabilitation is beneficial for stroke patients, but it is often delayed since the patients are often bedbound due to their general condition. ...

Correlation Between Quality Evaluation Metrics and Teeth Detection Results in Panoramic X-Rays Using Deep Learning.

Panoramic images are one of the most requested exams by dentists for allowing the visualization of the entire mouth. Interpreting X-ray images is a ti...

Computer-aided COVID-19 diagnosis and a comparison of deep learners using augmented CXRs.

BACKGROUND: Coronavirus Disease 2019 (COVID-19) is contagious, producing respiratory tract infection, caused by a newly discovered coronavirus. Its de...

A novel 3D-vision-based collaborative robot as a scope holding system for port surgery: a technical feasibility study.

OBJECTIVE: A clear, stable, suitably located vision field is essential for port surgery. A scope is usually held by hand or a fixing device. The forme...

Artificial Intelligence: Innovation to Assist in the Identification of Sono-anatomy for Ultrasound-Guided Regional Anaesthesia.

Ultrasound-guided regional anaesthesia (UGRA) involves the targeted deposition of local anaesthesia to inhibit the function of peripheral nerves. Ultr...