Cardiovascular

Prevention

Latest AI and machine learning research in prevention for healthcare professionals.

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Showing 337-357 of 11,961 articles
Analysis of Human Exercise Health Monitoring Data of Smart Bracelet Based on Machine Learning.

The smart bracelet has become a hot-selling commodity, according to a daily consumption survey. Base...

Construction of Correlation Analysis Model of College Students' Sports Performance Based on Convolutional Neural Network.

This paper proposes a network model recurrent fully connected network (RFC-Net) based on recurrent f...

A Decision Tree Model for Analysis and Judgment of Lower Limb Movement Comfort Level.

To address the problem of ambiguity and one-sidedness in the evaluation of comprehensive comfort per...

Integrated Blockchain-Deep Learning Approach for Analyzing the Electronic Health Records Recommender System.

Blockchain is a recent revolutionary technology primarily associated with cryptocurrencies. It has m...

Exploiting exercise electrocardiography to improve early diagnosis of atrial fibrillation with deep learning neural networks.

Atrial fibrillation (AF) is the most common type of sustained arrhythmia. It results from abnormal i...

Prospects and Pitfalls of Machine Learning in Nutritional Epidemiology.

Nutritional epidemiology employs observational data to discover associations between diet and diseas...

Soft pneumatic actuators for mimicking multi-axial femoropopliteal artery mechanobiology.

Tissue biomanufacturing aims to produce lab-grown stem cell grafts and biomimetic drug testing platf...

Development of an affordable, immersive model for robotic vaginal cuff closure: a randomized trial.

Safe and secure closure of the vaginal cuff is a critical component of a robotic assisted hysterecto...

Pre-germinated brown rice alleviates non-alcoholic fatty liver disease induced by high fructose and high fat intake in rat.

In past researches, we had been proved the action mechanism of pre-germinated brown rice (PGBR) to t...

Image Recognition and Extraction of Students' Human Motion Features Based on Graph Neural Network.

In order to improve students' overall subhealth behavior, teenagers' physical health problems have a...

Research on exercise fatigue estimation method of Pilates rehabilitation based on ECG and sEMG feature fusion.

PURPOSE: Surface electromyography (sEMG) is vulnerable to environmental interference, low recognitio...

PlatypOUs-A Mobile Robot Platform and Demonstration Tool Supporting STEM Education.

Given the rising popularity of robotics, student-driven robot development projects are playing a key...

Technical Feasibility of Supervision of Stretching Exercises by a Humanoid Robot Coach for Chronic Low Back Pain: The R-COOL Randomized Trial.

Adherence to exercise programs for chronic low back pain (CLBP) is a major issue. The R-COOL feasibi...

Sports Training Strategies and Interactive Control Methods Based on Neural Network Models.

Sports training strategies should be combined with science and technology to design the most suitabl...

Anti-Fatigue and Exercise Performance Improvement Effect of Extract in Mice.

(GT) is a native perennial plant growing across the coastline areas in Taiwan. The current study ai...

Design of Motion Detection Device in Sports Based on Deep Learning of Internet of Things.

With the improvement of people's income levels in recent years, people have gradually begun to pay m...

Graph Convolutional Networks for Assessment of Physical Rehabilitation Exercises.

Health professionals often prescribe patients to perform specific exercises for rehabilitation of se...

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