Primary Care

Exercise & Fitness

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

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Showing 988-1008 of 7,437 articles
Beat-to-beat estimation of stroke volume using impedance cardiography and artificial neural network.

Impedance cardiography is a low-cost noninvasive technique, based on monitoring of the thoracic impe...

Codebook-based electrooculography data analysis towards cognitive activity recognition.

With the advancement in mobile/wearable technology, people started to use a variety of sensing devic...

Swim drink study: a randomised controlled trial of during-exercise rehydration and swimming performance.

OBJECTIVE: To determine whether during-exercise rehydration improves swimming performance and whethe...

Mechanism for temporal changes in exercise capacity after Fontan palliation: Role of Doppler echocardiography.

BACKGROUND: The objective was to better understand Doppler hemodynamics and exercise capacity in pat...

Older adults' acceptance of a robot for partner dance-based exercise.

Partner dance has been shown to be beneficial for the health of older adults. Robots could potential...

DanHong injection targets endothelin receptor type B and angiotensin II receptor type 1 in protection against cardiac hypertrophy.

Cardiac hypertrophy (CH) is an independent risk factor for cardiovascular diseases (CVDs). Mitigatin...

Poor vitamin D status increases the risk of anemia in school children: National Food and Nutrition Surveillance.

OBJECTIVES: This study aimed to investigate the association between 25-hydroxyvitamin D (25[OH]D) co...

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 b...

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...

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 ...

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...

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 ...

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 studi...

Parsing learning in networks using brain-machine interfaces.

Brain-machine interfaces (BMIs) define new ways to interact with our environment and hold great prom...

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 or...

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 mech...

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 s...

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 en...

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