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Fibromyalgia

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

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Development of a Deep-Learning-Based Computerized Scoring Algorithm.

During polygraph tests, the examiner evaluates physiological responses recorded on a chart to identi...

Estimating gait parameters from sEMG signals using machine learning techniques under different power capacity of muscle.

The gait analysis has been applied in many fields, such as the assessment of falling, force evaluati...

Optimized driver fatigue detection method using multimodal neural networks.

Driver fatigue is a significant factor contributing to road accidents, highlighting the need for pre...

DP-MP: a novel cross-subject fatigue detection framework with DANN-based prototypical representation and mix-up pairwise learning.

. Electroencephalography (EEG) is widely recognized as an effective method for detecting fatigue. Ho...

: Towards Autonomous Electronic Health Record Navigation.

Clinicians spend large amounts of time on clinical documentation, and inefficiencies impact quality ...

Continuous real-time detection and management of comprehensive mental states using wireless soft multifunctional bioelectronics.

Quantitatively measuring human mental states that profoundly affect cognition, behavior, and recover...

Multi-body sensor based drowsiness detection using convolutional programmed transfer VGG-16 neural network with automatic driving mode conversion.

Many traffic accidents occur nowadays as a result of drivers not paying enough attention or being vi...

Neuronal and therapeutic perspectives on empathic pain: A rational insight.

Empathy is the capacity to experience and understand the feelings of others, thereby playing a key r...

EEG-Deformer: A Dense Convolutional Transformer for Brain-Computer Interfaces.

Effectively learning the temporal dynamics in electroencephalogram (EEG) signals is challenging yet ...

Machine Learning Techniques for Simulating Human Psychophysical Testing of Low-Resolution Phosphene Face Images in Artificial Vision.

To evaluate the quality of artificial visual percepts generated by emerging methodologies, researche...

Few-shot transfer learning for individualized braking intent detection on neuromorphic hardware.

This work explores use of a few-shot transfer learning method to train and implement a convolutional...

Rapidly self-healing electronic skin for machine learning-assisted physiological and movement evaluation.

Emerging electronic skins (E-Skins) offer continuous, real-time electrophysiological monitoring. How...

Artificial intelligence-assisted diagnosis of early gastric cancer: present practice and future prospects.

Gastric cancer (GC) occupies the first few places in the world among tumors in terms of incidence an...

Subjective recovery in professional soccer players: A machine learning and mediation approach.

Coaches often ask players to judge their recovery status (subjective recovery). We aimed to explore ...

EEG-based fatigue state evaluation by combining complex network and frequency-spatial features.

BACKGROUND: The proportion of traffic accidents caused by fatigue driving is increasing year by year...

Application of Wearable Insole Sensors in In-Place Running: Estimating Lower Limb Load Using Machine Learning.

Musculoskeletal injuries induced by high-intensity and repetitive physical activities represent one ...

A Deep Learning Approach for Mental Fatigue State Assessment.

This study investigates mental fatigue in sports activities by leveraging deep learning techniques, ...

Acrobatics at the insect scale: A durable, precise, and agile micro-aerial robot.

Aerial insects are exceptionally agile and precise owing to their small size and fast neuromotor con...

Machine learning and multi-omics in precision medicine for ME/CFS.

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex and multifaceted disorder t...

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