Exercise & Fitness

The effectiveness of robotic training depends on motor task characteristics.

Previous research suggests that the effectiveness of robotic training depends on the motor task to be learned. However, it is still an open question which specific task's characteristics influence the efficacy of error-modulating training strategies. Motor tasks can be classified based on the time characteristics of the task, in particular the task's duration (discrete vs. continuous). Continuous ...

Alzheimer's disease and driving: review of the literature and consensus guideline from Belgian dementia experts and the Belgian road safety institute endorsed by the Belgian Medical Association.

Alzheimer's disease (AD) is a highly prevalent condition and its prevalence is expected to further increase due to the aging of the general population. It is obvious that the diagnosis of AD has implications for driving. Finally, driving discussions are also emotionally charged because driving is associated with independence and personal identity. However, it is not clear how to implement this in ...

Evolutionary and Neural Computing Based Decision Support System for Disease Diagnosis from Clinical Data Sets in Medical Practice.

As a recent trend, various computational intelligence and machine learning approaches have been used for mining inferences hidden in the large clinica...

Fitness and health benefits of team handball training for young untrained women-A cross-disciplinary RCT on physiological adaptations and motivational aspects.

PURPOSE: The present study evaluated the effects of regular participation in small-sided team handball training on body composition, osteogenic respon...

Validation of a Machine Learning Approach for Venous Thromboembolism Risk Prediction in Oncology.

Using kernel machine learning (ML) and random optimization (RO) techniques, we recently developed a set of venous thromboembolism (VTE) risk predictor...

Combining Upper Limb Robotic Rehabilitation with Other Therapeutic Approaches after Stroke: Current Status, Rationale, and Challenges.

A better understanding of the neural substrates that underlie motor recovery after stroke has led to the development of innovative rehabilitation stra...

Effects of 3 months of full-court and half-court street basketball training on health profile in untrained men.

PURPOSE: The aim of the present study was to investigate whether street basketball organized as 3 v 3 on either a half court (HC) with 1 basket or a f...

Persistent light to moderate alcohol intake and lung function: A longitudinal study.

Alcohol intake has been inconsistently associated with lung function levels in cross-sectional studies. The goal of our study was to determine whether...

Using Machine Learning to Define the Association between Cardiorespiratory Fitness and All-Cause Mortality (from the Henry Ford Exercise Testing Project).

Previous studies have demonstrated that cardiorespiratory fitness is a strong marker of cardiovascular health. Machine learning (ML) can enhance the p...

Parsing learning in networks using brain-machine interfaces.

Brain-machine interfaces (BMIs) define new ways to interact with our environment and hold great promise for clinical therapies. Motor BMIs, for instan...

An efficient method for kidney allocation problem: a credibility-based fuzzy common weights data envelopment analysis approach.

Given the perennial imbalance and chronic scarcity between the demand for and supply of available organs, organ allocation is one of the most critical...

AExaCTT - Aerobic Exercise and Consecutive Task-specific Training for the upper limb after stroke: Protocol for a randomised controlled pilot study.

Motor function may be enhanced if aerobic exercise is paired with motor training. One potential mechanism is that aerobic exercise increases levels of...

Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms.

BACKGROUND: Visual inspection of cardiotocography traces by obstetricians and midwives is the gold standard for monitoring the wellbeing of the foetus...

Usability testing of a developed assistive robotic system with virtual assistance for individuals with cerebral palsy: a case study.

This paper presents a novel application of an assistive robotic system with virtual assistance to enhance manual performance of individuals with cereb...

Extracting aerobic system dynamics during unsupervised activities of daily living using wearable sensor machine learning models.

Physical activity levels are related through algorithms to the energetic demand, with no information regarding the integrity of the multiple physiolog...

An automated ranking platform for machine learning regression models for meat spoilage prediction using multi-spectral imaging and metabolic profiling.

Over the past decade, analytical approaches based on vibrational spectroscopy, hyperspectral/multispectral imagining and biomimetic sensors started ga...

Machine Learning Methods to Predict Diabetes Complications.

One of the areas where Artificial Intelligence is having more impact is machine learning, which develops algorithms able to learn patterns and decisio...

Programming experience promotes higher STEM motivation among first-grade girls.

The gender gap in science, technology, engineering, and math (STEM) engagement is large and persistent. This gap is significantly larger in technologi...

EHR-based phenotyping: Bulk learning and evaluation.

In data-driven phenotyping, a core computational task is to identify medical concepts and their variations from sources of electronic health records (...

Waist circumference thresholds and cardiorespiratory fitness.

PURPOSE: This study's purpose was to examine whether established risk categories of waist circumference (WC)-normal, high risk, and very high health r...