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Exercise & Fitness

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

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Showing 862-882 of 7,437 articles
Physiological responses and perceived exertion during robot-assisted treadmill walking in non-ambulatory stroke survivors.

PURPOSE: To examine physiological responses and perceived exertion during robot-assisted treadmill w...

Effect of storage on the quality of processed palm oil collected from local milling points within Ile-Ife, Osun State, Nigeria.

The influence of storage practices on physicochemical and microbial changes in crude palm oil (CPO) ...

Robotic Exoskeleton for Wrist and Fingers Joint in Post-Stroke Neuro-Rehabilitation for Low-Resource Settings.

Robots have the potential to help provide exercise therapy in a repeatable and reproducible manner f...

Machine learning and blood pressure.

Machine learning (ML) is a type of artificial intelligence (AI) based on pattern recognition. There ...

Automated Liver Fat Quantification at Nonenhanced Abdominal CT for Population-based Steatosis Assessment.

Background Nonalcoholic fatty liver disease and its consequences are a growing public health concern...

Nutritional, biochemical and microbiological composition of Mart. sap in Burkina Faso.

The palmyra palm Mart. grow wild and gives natural stands in several localities of central-eastern ...

The effect of using Gait Exercise Assist Robot (GEAR) on gait pattern in stroke patients: a cross-sectional pilot study.

: The Gait Exercise Assist Robot (GEAR) has been developed to support gait training for stroke patie...

Machine Learning to Understand the Immune-Inflammatory Pathways in Fibromyalgia.

Fibromyalgia (FM) is a chronic syndrome characterized by widespread musculoskeletal pain, and physic...

Applying machine learning to predict future adherence to physical activity programs.

BACKGROUND: Identifying individuals who are unlikely to adhere to a physical exercise regime has pot...

Neural muscle activation detection: A deep learning approach using surface electromyography.

The timing of muscles activation which is a key parameter in determining plenty of medical condition...

Selective Ensemble Based on Extreme Learning Machine for Sensor-Based Human Activity Recognition.

Sensor-based human activity recognition (HAR) has attracted interest both in academic and applied fi...

berry related yeast volatiles modify behaviour of flies.

Olfactory cues have a large impact on insect behaviour and fitness consequently showing potential in...

Phenotyping Women Based on Dietary Macronutrients, Physical Activity, and Body Weight Using Machine Learning Tools.

Nutritional phenotyping can help achieve personalized nutrition, and machine learning tools may offe...

Randomized Controlled Trial of Gait Training Using Gait Exercise Assist Robot (GEAR) in Stroke Patients with Hemiplegia.

PURPOSE: This trial aimed to validate the effectiveness of using the Gait Exercise Assist Robot (GEA...

A theory of consciousness: computation, algorithm, and neurobiological realization.

The most enigmatic aspect of consciousness is the fact that it is felt, as a subjective sensation. T...

Estimation of allele-specific fitness effects across human protein-coding sequences and implications for disease.

A central challenge in human genomics is to understand the cellular, evolutionary, and clinical sign...

An influent responsive control strategy with machine learning: Q-learning based optimization method for a biological phosphorus removal system.

Biological phosphorus removal (BPR) is an economical and sustainable processes for the removal of ph...

FriWalk robotic walker: usability, acceptance and UX evaluation after a pilot study in a real environment.

: Scientific evidence supports that prevention strategies like multicomponent physical exercise help...

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