Latest AI and machine learning research in fibromyalgia for healthcare professionals.
Cognitive fatigue is a psychological state characterised by feelings of tiredness and impaired cognitive functioning arising from high cognitive demands. This paper examines the recent research progress on the assessment of cognitive fatigue and provides informed recommendations for future research. Traditionally, cognitive fatigue is introspectively assessed through self-report or objectively inf...
BACKGROUND: Adrenal insufficiency (AI) may cause psychiatric symptoms. We evaluated the correlation between the hypothalamic-pituitary-adrenal axis (HPA) function in patients with mental illness who complained of postprandial symptoms in addition to fatigue.
Multiple sclerosis (MS) affects the central nervous system with a wide range of symptoms. MS can, for example, cause pain, changes in mood and fatigue...
Mental stress can lead to traffic accidents by reducing a driver's concentration or increasing fatigue while driving. In recent years, demand for meth...
Prostate cancer is a leading cause of morbidity and mortality for adult males in the US. The diagnosis of prostate carcinoma is usually made on prosta...
Event cameras contain emerging, neuromorphic vision sensors that capture local-light​ intensity changes at each pixel, generating a stream of asynchro...
Flame-retardant coatings are crucial for intelligent systems operating in high-temperature (300-800°C) scenarios, which typically involve multi-joint ...
In addition to helping develop products that aid the disabled, brain-computer interface (BCI) technology can also become a modality of entertainment f...
Nowadays, Human Activity Recognition (HAR) systems, which use wearables and smart systems, are a part of our daily life. Despite the abundance of lite...
: To remove blood from an incision and find the incision spot is a key task during surgery, or else over discharge of blood will endanger a patient's ...
Human muscle fatigue is the main result of diminishing muscle capability, leading to reduced performance and increased risk of falls and injury. This ...
GOAL: To develop and validate a field-based data collection and assessment method for human activity recognition in the mountains with variations in t...
This study aimed to identify the predictive capacity of wellness questionnaires on measures of training load using machine learning methods. The distr...
OBJECTIVE: Our objective is to study how to obtain features which can reflect the continuity and internal dynamic changes of electroencephalography (E...
We investigated the effects of caffeine mouth rinse on endurance performance, muscle recruitment (i.e., electromyographic activity of the vastus later...
BACKGROUND AND PURPOSE: Pregabalin is used in the treatment of epilepsy, chronic pain, and other psychological disorders. Preparation of pregabalin in...
Esophageal cancer is the eight most common cancer in the world and is associated with a poor prognosis. Significant efforts are necessary to improve t...
: The purpose of this study was to examine the relationship between training load and next-day recovery in collegiate American football (AF) players d...
Electroencephalogram (EEG) is an effective indicator for the detection of driver fatigue. Due to the significant differences in EEG signals across sub...
Due to the influence of context information on user behavior, context-aware recommendation system (CARS) has attracted extensive attention in recent y...