Primary Care

Exercise & Fitness

Latest AI and machine learning research in exercise & fitness for healthcare professionals.

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Brain-Machine Interface-Based Rat-Robot Behavior Control.

Brain-machine interface (BMI) provides a bidirectional pathway between the brain and external facili...

Improvement of motor performance in children with cerebral palsy treated with exoskeleton robotic training: A retrospective explorative analysis.

BACKGROUND: Robot-assisted gait training (RAGT) is widely used in children with cerebral palsy (CP),...

A Cancer Paradox: Machine-Learning Backed Propensity-Score Analysis of Coronary Angiography Findings in Cardio-Oncology.

OBJECTIVES: Cancer has been proposed as a cardiovascular risk factor. We aimed to assess the cardiov...

Effects of diet before endurance exercise on hepcidin response in young untrained females.

PURPOSE: We examined the effects of diet before endurance exercise on hepcidin response in young unt...

Evaluation of a protocol for reducing the microbial contamination of dental unit water.

Biofilm on dental unit waterlines can spread microbial contamination in the water. The aim of this s...

A Dual-Accelerometer System for Classifying Physical Activity in Children and Adults.

INTRODUCTION: Accurately monitoring 24-h movement behaviors is a vital step for progressing the time...

A machine learning approach to predict early outcomes after pituitary adenoma surgery.

OBJECTIVEPituitary adenomas occur in a heterogeneous patient population with diverse perioperative r...

Exoskeleton and End-Effector Robots for Upper and Lower Limbs Rehabilitation: Narrative Review.

Recovery of upper and lower limbs function is essential to reach independence in daily activities in...

[Robot-assisted vs laparoscopic gastric bypass : First experiences with the DaVinci system in bariatric surgery].

Conventional laparoscopy is the gold standard in bariatric surgery. Internationally, robot-assisted ...

Neural Decoding Forelimb Trajectory Using Evolutionary Neural Networks with Feedback-Error-Learning Schemes.

Changes in the functional mapping between neural activities and kinematic parameters over time poses...

Flexo-glove: A 3D Printed Soft Exoskeleton Robotic Glove for Impaired Hand Rehabilitation and Assistance.

This paper presents a compact and streamlined design of a soft exoskeleton glove for assistance in a...

Convolutional neural networks for classification of alignments of non-coding RNA sequences.

MOTIVATION: The convolutional neural network (CNN) has been applied to the classification problem of...

COSSMO: predicting competitive alternative splice site selection using deep learning.

MOTIVATION: Alternative splice site selection is inherently competitive and the probability of a giv...

Machine Learning in Rehabilitation Assessment for Thermal and Heart Rate Data Processing.

Multimodal signal analysis based on sophisticated noninvasive sensors, efficient communication syste...

Modeling positional effects of regulatory sequences with spline transformations increases prediction accuracy of deep neural networks.

MOTIVATION: Regulatory sequences are not solely defined by their nucleic acid sequence but also by t...

An Optimal Method of Training the Specific Lower Limb Muscle Group Using an Exoskeletal Robot.

This paper suggests a novel method of strengthening specific muscle groups in the lower limb during ...

Brain-machine interfaces for controlling lower-limb powered robotic systems.

OBJECTIVE: Lower-limb, powered robotics systems such as exoskeletons and orthoses have emerged as no...

Superior arm-movement decoding from cortex with a new, unsupervised-learning algorithm.

OBJECTIVE: The aim of this work is to improve the state of the art for motor-control with a brain-ma...

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