Latest AI and machine learning research in exercise & fitness for healthcare professionals.
The present study was done to optimize the power ultrasound processing for maximizing diastase activity of and minimizing hydroxymethylfurfural (HMF) content in honey using response surface methodology. Experimental design with treatment time (1-15 min), amplitude (20-100%) and volume (40-80 mL) as independent variables under controlled temperature conditions was studied and it was concluded that ...
The effect of chronic metabolic acidosis (MA) on cardiovascular disease (CVD) in the setting of chronic kidney disease (CKD) is largely unknown. Therefore, we aimed to study this relationship in nondialysis CKD patients.This cross-sectional, single-center study prospectively enrolled 95 clinically stable CKD patients (median age 61 (58, 65) years, 60% male, median eGFR 27 (22, 32) mL/min). Data on...
Salivary markers have been proposed as noninvasive and easy-to-collect indicators of dehydrations during physical exercise. It has been demonstrated t...
MOTIVATION: Sources of variability in experimentally derived data include measurement error in addition to the physical phenomena of interest. This me...
This paper presents the preliminary findings of a multi-year clinical study evaluating the effectiveness of adding a brain-machine interface (BMI) to ...
The guidelines for enhancing robot-assisted training for post-stroke survivors head towards increasing exercise realism and variability; in particular...
Motor dexterity assessment is regularly performed in rehabilitation wards to establish patient status and automatization for such routinary task is so...
This paper presents a real time hybrid 2D position and orientation tracking system developed for an upper limb rehabilitation robot. Designed to work ...
Robotic systems offer the possibility of improving the life quality of people with severe motor disabilities, enhancing the individual's degree of ind...
This paper presents the iterative development of an artificially intelligent system to promote home-based neurorehabilitation. Although proper, struct...
Many common activities of daily living like open a door or fill a glass of water, which most of us take for granted, could be an insuperable problem f...
Recent progress in biosensor technology and wearable devices has created a formidable opportunity for remote healthcare monitoring systems as well as ...
The interaction of estrogens with environmental toxins in free radicals generation: reactive oxygen species (ROS) or reactive nitrogen species (RNS) w...
Paracetamol is one of the most common analgesic and antipyretic drugs. Recently intravenous paracetamol has been widely used to treat moderate postope...
Breast cancer is the most common invasive cancer among women and its incidence is increasing. Risk assessment is valuable and recent methods are incor...
BACKGROUND: In a patient with severe hemiplegia, the risk of the knee giving way is high during the early stage of gait exercise with an ankle-foot or...
This paper presents a novel robotic system, which aims to enhance children's motivation through the gamification of the CIMT process. The system offer...
The aim of the present study was to explore the potential of a ZORA-robot based intervention in rehabilitation and special education for children with...
BACKGROUND: The concentration of circulating catecholamine increases during exercise in healthy athletes, but the variation has not been studied much ...
BACKGROUND: Metabolic surgery for obese patients with type 2 diabetes (T2D) yields short- and long-term remission rates of 60-90%. Its effects on diab...