Rheumatology

Fibromyalgia

Latest AI and machine learning research in fibromyalgia for healthcare professionals.

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Soft pneumatic elbow exoskeleton reduces the muscle activity, metabolic cost and fatigue during holding and carrying of loads.

To minimize fatigue, sustain workloads, and reduce the risk of injuries, the exoskeleton Carry was d...

Experimental and numerical diagnosis of fatigue foot using convolutional neural network.

Fatigue is an essential criterion for physiotherapy in injured athletes. Muscle fatigue mechanism al...

Aircraft Fuselage Corrosion Detection Using Artificial Intelligence.

Corrosion identification and repair is a vital task in aircraft maintenance to ensure continued stru...

Biomarker-Informed Machine Learning Model of Cognitive Fatigue from a Heart Rate Response Perspective.

Cognitive fatigue is a psychological state characterised by feelings of tiredness and impaired cogni...

Twelve patients with mental illness who complained of postprandial symptoms in addition to fatigue showed central adrenal insufficiency.

BACKGROUND: Adrenal insufficiency (AI) may cause psychiatric symptoms. We evaluated the correlation ...

A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data.

Multiple sclerosis (MS) affects the central nervous system with a wide range of symptoms. MS can, fo...

Driving Stress Detection Using Multimodal Convolutional Neural Networks with Nonlinear Representation of Short-Term Physiological Signals.

Mental stress can lead to traffic accidents by reducing a driver's concentration or increasing fatig...

An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy.

Prostate cancer is a leading cause of morbidity and mortality for adult males in the US. The diagnos...

Real-time face & eye tracking and blink detection using event cameras.

Event cameras contain emerging, neuromorphic vision sensors that capture local-light​ intensity chan...

Highly Stretchable Flame-Retardant Skin for Soft Robotics with Hydrogel-Montmorillonite-Based Translucent Matrix.

Flame-retardant coatings are crucial for intelligent systems operating in high-temperature (300-800°...

The MindGomoku: An Online P300 BCI Game Based on Bayesian Deep Learning.

In addition to helping develop products that aid the disabled, brain-computer interface (BCI) techno...

On the Impact of Biceps Muscle Fatigue in Human Activity Recognition.

Nowadays, Human Activity Recognition (HAR) systems, which use wearables and smart systems, are a par...

Autonomous Robot for Removing Superficial Traumatic Blood.

: To remove blood from an incision and find the incision spot is a key task during surgery, or else ...

Smartphone-based human fatigue level detection using machine learning approaches.

Human muscle fatigue is the main result of diminishing muscle capability, leading to reduced perform...

Moving the Lab into the Mountains: A Pilot Study of Human Activity Recognition in Unstructured Environments.

GOAL: To develop and validate a field-based data collection and assessment method for human activity...

Analysing the predictive capacity and dose-response of wellness in load monitoring.

This study aimed to identify the predictive capacity of wellness questionnaires on measures of train...

Feature extraction of EEG signals based on functional data analysis and its application to recognition of driver fatigue state.

OBJECTIVE: Our objective is to study how to obtain features which can reflect the continuity and int...

Caffeine mouth rinse enhances performance, fatigue tolerance and reduces muscle activity during moderate-intensity cycling.

We investigated the effects of caffeine mouth rinse on endurance performance, muscle recruitment (i....

Preparation and characterization of ethylcellulose microspheres for sustained-release of pregabalin.

BACKGROUND AND PURPOSE: Pregabalin is used in the treatment of epilepsy, chronic pain, and other psy...

Esophageal squamous dysplasia and cancer: Is artificial intelligence our best weapon?

Esophageal cancer is the eight most common cancer in the world and is associated with a poor prognos...

Relationship between training load and recovery in collegiate American football players during pre-season training.

: The purpose of this study was to examine the relationship between training load and next-day recov...

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