Primary Care

Exercise & Fitness

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

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Comparing Sampling Strategies for Tackling Imbalanced Data in Human Activity Recognition.

Human activity recognition (HAR) using wearable sensors is an increasingly active research topic in ...

Machine learning-based diagnosis and risk factor analysis of cardiocerebrovascular disease based on KNHANES.

The prevalence of cardiocerebrovascular disease (CVD) is continuously increasing, and it is the lead...

Machine learning based predictive model for the analysis of sequence activity relationships using protein spectra and protein descriptors.

Accurately establishing the connection between a protein sequence and its function remains a focal p...

Energy Expenditure Estimation of Tabata by Combining Acceleration and Heart Rate.

Tabata training plays an important role in health promotion. Effective monitoring of exercise energy...

Automated Detection of Rehabilitation Exercise by Stroke Patients Using 3-Layer CNN-LSTM Model.

According to statistics, stroke is the second or third leading cause of death and adult disability. ...

Design of a Regional Economic Forecasting Model Using Optimal Nonlinear Support Vector Machines.

Forecasting regional economic activity is a progressively significant element of regional economic r...

Effects of Balance Exercise Assist Robot training for patients with hemiparetic stroke: a randomized controlled trial.

BACKGROUND: Robot-assisted rehabilitation for patients with stroke is promising. However, it is uncl...

Reliability Analysis for Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks.

Hand gesture recognition with surface electromyography (sEMG) is indispensable for Muscle-Gesture-Co...

Learning protein fitness models from evolutionary and assay-labeled data.

Machine learning-based models of protein fitness typically learn from either unlabeled, evolutionari...

Shape Prediction of Nasal Bones by Digital 2D-Photogrammetry of the Nose Based on Convolution and Back-Propagation Neural Network.

In rhinoplasty, it is necessary to consider the correlation between the anthropometric indicators of...

Smart Electrically Assisted Bicycles as Health Monitoring Systems: A Review.

This paper aims to provide a review of the electrically assisted bicycles (also known as e-bikes) us...

Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network.

Due to the marked increase in the prevalence of overweight and obesity worldwide and an environment ...

Acute Effects of Nicotine on Physiological Responses and Sport Performance in Healthy Baseball Players.

There is interest in whether nicotine could enhance attention in sporting performance, but evidence ...

Super.Complex: A supervised machine learning pipeline for molecular complex detection in protein-interaction networks.

Characterization of protein complexes, i.e. sets of proteins assembling into a single larger physica...

Addressing joint action challenges in HRI: Insights from psychology and philosophy.

The vast expansion of research in human-robot interactions (HRI) these last decades has been accompa...

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