Exercise & Fitness

Method for Muscle Tone Monitoring During Robot-Assisted Therapy of Hand Function: A Proof of Concept.

Robot-assisted rehabilitation of hand function is becoming an established approach to complement con...

Brain activity during reciprocal social interaction investigated using conversational robots as control condition.

We present a novel functional magnetic resonance imaging paradigm for second-person neuroscience. Th...

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 on physical performance and cognitive functioning of community-dwelling older adults following an exercise program with humanoid robots: A preliminary trial].

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

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

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...

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...

Modulation of aldosterone levels by aldosterone synthase promoter polymorphism and association with eGFR decline in patients with chronic kidney disease.

To determine whether -344T/C CYP11B2 promoter polymorphism affects serum aldosterone levels and whet...

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 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 ...

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

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

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...

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...

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...

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...

A review and experimental study on the application of classifiers and evolutionary algorithms in EEG-based brain-machine interface systems.

OBJECTIVE: Considering the importance and the near-future development of noninvasive brain-machine i...

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...

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...