Rheumatology

Fibromyalgia

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

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Control of Functional Electrical Stimulation Systems Using Simultaneous Pulse Width, Amplitude, and Frequency Modulations.

BACKGROUND: One significant challenge of developing a controller for functional electrical stimulati...

Alginate fiber toughened gels similar to skin intelligence as ionic sensors.

The stretchable hydrogels provide potential alternatives to bionic skins. However, skin simulation r...

Nonintrusive Monitoring of Mental Fatigue Status Using Epidermal Electronic Systems and Machine-Learning Algorithms.

Mental fatigue, characterized by subjective feelings of "tiredness" and "lack of energy", can degrad...

And the nominees are: Using design-awards datasets to build computational aesthetic evaluation model.

Aesthetic perception is a human instinct that is responsive to multimedia stimuli. Giving computers ...

Fatigue Evaluation through Machine Learning and a Global Fatigue Descriptor.

Research in physiology and sports science has shown that fatigue, a complex psychophysiological phen...

Adaptive feature extraction in EEG-based motor imagery BCI: tracking mental fatigue.

OBJECTIVE: Electroencephalogram (EEG) signals are non-stationary. This could be due to internal fluc...

A Deep Learning Framework for Design and Analysis of Surgical Bioprosthetic Heart Valves.

Bioprosthetic heart valves (BHVs) are commonly used as heart valve replacements but they are prone t...

Evaluating a Semiautonomous Brain-Computer Interface Based on Conformal Geometric Algebra and Artificial Vision.

In this paper, we evaluate a semiautonomous brain-computer interface (BCI) for manipulation tasks. I...

Predictive Monitoring of Critical Cardiorespiratory Alarms in Neonates Under Intensive Care.

We aimed at reducing alarm fatigue in neonatal intensive care units by developing a model using mach...

Vitamin D deficiency and its association with fatigue and quality of life in multiple sclerosis patients.

BACKGROUND: Vitamin D deficiency is associated with the incidence and prevalence of a variety of neu...

Muscle endurance time estimation during isometric training using electromyogram and supervised learning.

UNLABELLED: Constant-force isometric muscle training is useful for increasing the maximal strength ,...

Antioxidant Effect of Virgin Coconut Oil on Urea and Creatinine Levels on Maximum Physical Activity.

BACKGROUND: Maximal physical activity can produce an imbalance between reactive oxygen species (ROS)...

Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients.

Symptoms are common in patients on maintenance hemodialysis but identification is challenging. New i...

A LightGBM-Based EEG Analysis Method for Driver Mental States Classification.

Fatigue driving can easily lead to road traffic accidents and bring great harm to individuals and fa...

Machine Learning to Understand the Immune-Inflammatory Pathways in Fibromyalgia.

Fibromyalgia (FM) is a chronic syndrome characterized by widespread musculoskeletal pain, and physic...

Semi-Supervised Learning Algorithm for Identifying High-Priority Drug-Drug Interactions Through Adverse Event Reports.

Identifying drug-drug interactions (DDIs) is a critical enabler for reducing adverse drug events and...

Artificial neural networks reveal individual differences in metacognitive monitoring of memory.

Previous work supports an age-specific impairment for recognition memory of pairs of words and other...

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