Primary Care

Exercise & Fitness

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

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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...

Machine Learning Methods to Predict Diabetes Complications.

One of the areas where Artificial Intelligence is having more impact is machine learning, which deve...

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

The gender gap in science, technology, engineering, and math (STEM) engagement is large and persiste...

EHR-based phenotyping: Bulk learning and evaluation.

In data-driven phenotyping, a core computational task is to identify medical concepts and their vari...

Waist circumference thresholds and cardiorespiratory fitness.

PURPOSE: This study's purpose was to examine whether established risk categories of waist circumfere...

Robot-assisted gait training (Lokomat) improves walking function and activity in people with spinal cord injury: a systematic review.

UNLABELLED: Robot-assisted gait training (RAGT) after spinal cord injury (SCI) induces several diffe...

Training with a balance exercise assist robot is more effective than conventional training for frail older adults.

AIM: To examine the efficacy of postural strategy training using a balance exercise assist robot (BE...

Feedback for reinforcement learning based brain-machine interfaces using confidence metrics.

OBJECTIVE: For brain-machine interfaces (BMI) to be used in activities of daily living by paralyzed ...

Robotic-assisted gait training in Parkinson's disease: a three-month follow-up randomized clinical trial.

PURPOSE: The aim of this study was to evaluate the efficacy of a robotic-assisted gait training (RAG...

A Wearable Hip Assist Robot Can Improve Gait Function and Cardiopulmonary Metabolic Efficiency in Elderly Adults.

The aims of this paper were to investigate the effectiveness of a newly developed wearable hip assis...

EXiO-A Brain-Controlled Lower Limb Exoskeleton for Rhesus Macaques.

Recent advances in the field of brain-machine interfaces (BMIs) have demonstrated enormous potential...

Master-Leader-Slave Cuckoo Search with Parameter Control for ANN Optimization and Its Real-World Application to Water Quality Prediction.

Artificial neural networks (ANNs) have been employed to solve a broad variety of tasks. The selectio...

The relationship of high-intensity cross-training with arterial stiffness.

BACKGROUND: Central arterial stiffness is a cardiovascular risk factor that can be readily affected ...

Prenatal Stress Exposure Generates Higher Early Survival and Smaller Size without Impacting Developmental Rate in a Pacific Salmon.

Prenatal exposure to elevated glucocorticoids can act as a signal of environmental stress, resulting...

Patient-Centered Robot-Aided Passive Neurorehabilitation Exercise Based on Safety-Motion Decision-Making Mechanism.

Safety is one of the crucial issues for robot-aided neurorehabilitation exercise. When it comes to t...

Influence to high-intensity intermittent and moderate-intensity continuous exercise on indices of cardio-inflammatory health in men.

The aim of this study was to evaluate the influence to acute exercises performed in different intens...

Moderate rest intervals are superior to short intervals for improving PAI-1 following exhaustive exercise in recreational weightlifters.

This study investigated the influence of short and moderate recovery intervals on lipid profiles and...

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