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Fibromyalgia

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

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The effect of intelligent management interventions in intensive care units to reduce false alarms: An integrative review.

OBJECTIVE: In intensive care units (ICU), frequent false alarms from medical equipment can cause ala...

Development of machine learning models to predict cancer-related fatigue in Dutch breast cancer survivors up to 15 years after diagnosis.

PURPOSE: To prevent (chronic) cancer-related fatigue (CRF) after breast cancer, it is important to i...

Deep learning-driven multi-view multi-task image quality assessment method for chest CT image.

BACKGROUND: Chest computed tomography (CT) image quality impacts radiologists' diagnoses. Pre-diagno...

Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving.

The human factor plays a key role in the automotive field since most accidents are due to drivers' u...

Miner Fatigue Detection from Electroencephalogram-Based Relative Power Spectral Topography Using Convolutional Neural Network.

Fatigue of miners is caused by intensive workloads, long working hours, and shift-work schedules. It...

Soft Robotics to Enhance Upper Limb Endurance in Individuals with Multiple Sclerosis.

Multiple sclerosis (MS) is a chronic autoimmune disorder that affects the central nervous system and...

Hybrid Robotic and Electrical Stimulation Assistance Can Enhance Performance and Reduce Mental Demand.

Combining functional electrical stimulation (FES) and robotics may enhance recovery after stroke, by...

User preference optimization for control of ankle exoskeletons using sample efficient active learning.

One challenge to achieving widespread success of augmentative exoskeletons is accurately adjusting t...

The role of robot-assisted training on rehabilitation outcomes in Parkinson's disease: a systematic review and meta-analysis.

PURPOSE: The study aims to assess the efficacy of robot-assisted rehabilitation training on upper an...

A robot-based interception task to quantify upper limb impairments in proprioceptive and visual feedback after stroke.

BACKGROUND: A key motor skill is the ability to rapidly interact with our dynamic environment. Human...

Investigation of the mechanism of action of deep brain stimulation for the treatment of Parkinson's disease.

Parkinson's disease (PD) is a severe, progressive, neurological disorder. PD is not a single disease...

Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive Approach.

A large share of traffic accidents is related to driver fatigue. In recent years, many studies have ...

The Effect of Using a Rehabilitation Robot for Patients with Post-Coronavirus Disease (COVID-19) Fatigue Syndrome.

The aim of this study was to compare the effectiveness of traditional neurological rehabilitation an...

A synthetic data generation system for myalgic encephalomyelitis/chronic fatigue syndrome questionnaires.

Artificial intelligence or machine-learning-based models have proven useful for better understanding...

Self-Attentive Channel-Connectivity Capsule Network for EEG-Based Driving Fatigue Detection.

Deep neural networks have recently been successfully extended to EEG-based driving fatigue detection...

A Novel Approach to Detecting Muscle Fatigue Based on sEMG by Using Neural Architecture Search Framework.

Muscle fatigue detection is of great significance to human physiological activities, but many comple...

Applying a Smartwatch to Predict Work-related Fatigue for Emergency Healthcare Professionals: Machine Learning Method.

INTRODUCTION: Healthcare professionals frequently experience work-related fatigue, which may jeopard...

COVID-19 symptom identification using Deep Learning and hardware emulated systems.

The COVID-19 pandemic disrupted regular global activities in every possible way. This pandemic, caus...

Deep learning supported machine vision system to precisely automate the wild blueberry harvester header.

An operator of a wild blueberry harvester faces the fatigue of manually adjusting the height of the ...

EEG motor imagery classification using deep learning approaches in naïve BCI users.

Motor Imagery (MI)-Brain Computer-Interfaces (BCI) illiteracy defines that not all subjects can achi...

A Product Fuzzy Convolutional Network for Detecting Driving Fatigue.

Existing driving fatigue detection methods rarely consider how to effectively fuse the advantages of...

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