Exercise & Fitness

Wearable Devices for Remote Monitoring of Heart Rate and Heart Rate Variability-What We Know and What Is Coming.

Heart rate at rest and exercise may predict cardiovascular risk. Heart rate variability is a measure of variation in time between each heartbeat, representing the balance between the parasympathetic and sympathetic nervous system and may predict adverse cardiovascular events. With advances in technology and increasing commercial interest, the scope of remote monitoring health systems has expanded....

Recognition of the Effect of Vocal Exercises by Fuzzy Triangular Naive Bayes, a Machine Learning Classifier: A Preliminary Analysis.

OBJECTIVES: Machine learning (ML) methods allow the development of expert systems for pattern recognition and predictive analysis of intervention outcomes. It has been used in Voice Sciences, mainly to discriminate between healthy and dysphonic voices. Parameter patterns of vocal acoustic analysis and vocal perceptual assessment can be evaluated by ML classifiers, such as the Fuzzy Triangular Naiv...

Predicting Low Cognitive Ability at Age 5-Feature Selection Using Machine Learning Methods and Birth Cohort Data.

In this study, we applied the random forest (RF) algorithm to birth-cohort data to train a model to predict low cognitive ability at 5 years of age a...

Evaluating the difference in walk patterns among normal-weight and overweight/obese individuals in real-world surfaces using statistical analysis and deep learning methods with inertial measurement unit data.

Unusual walk patterns may increase individuals' risks of falling. Anthropometric features of the human body, such as the body mass index (BMI), influe...

How to Increase Sport Facility Users' Intention to Use AI Fitness Services: Based on the Technology Adoption Model.

Artificial intelligence (AI) has recently been introduced as a new way of analyzing and predicting sport consumer behavior. The goal of this study was...

Transferability of robotic console skills by early robotic surgeons: a multi-platform crossover trial of simulation training.

Robotic surgical training is undergoing a period of transition now that new robotic operating platforms are entering clinical practice. As this occurs...

A Deep Learning-Based Model for Predicting Abnormal Liver Function in Workers in the Automotive Manufacturing Industry: A Cross-Sectional Survey in Chongqing, China.

To identify the influencing factors and develop a predictive model for the risk of abnormal liver function in the automotive manufacturing industry wo...

Comparison of single-port and multi-port Retzius-sparing robot-assisted laparoscopic prostatectomy.

Dissemination of robotic surgical technology for robot-assisted laparoscopic prostatectomy (RALP) has yielded advancements including the Retzius-spari...

Benchmarking of Deep Architectures for Segmentation of Medical Images.

In recent years, there were many suggestions regarding modifications of the well-known U-Net architecture in order to improve its performance. The cen...

Patient-Specific Exercises with the Development of an End-Effector Type Upper Limb Rehabilitation Robot.

End-effector type upper limb rehabilitation robots (ULRRs) are connected to patients at one distal point, making them have simple structures and less ...

Improved Classification Approach for Fruits and Vegetables Freshness Based on Deep Learning.

Classification of fruit and vegetable freshness plays an essential role in the food industry. Freshness is a fundamental measure of fruit and vegetabl...

Bioinspired conductive structural color hydrogels as a robotic knuckle rehabilitation electrical skin.

Electronic skins have attracted significant research interest in the biomedical engineering field including wearable devices, artificial prostheses, s...

OpenFL: the open federated learning library.

Federated learning (FL) is a computational paradigm that enables organizations to collaborate on machine learning (ML) and deep learning (DL) projects...

Conformal prediction under feedback covariate shift for biomolecular design.

Many applications of machine-learning methods involve an iterative protocol in which data are collected, a model is trained, and then outputs of that ...

Exploration of Variables Predicting Sense of School Belonging Using the Machine Learning Method-Group Mnet.

The purpose of this study was to explore variables related to school belonging from a holistic perspective, including a large number of variables in o...

Prediction Model and Data Simulation of Sports Performance Based on the Artificial Intelligence Algorithm.

There is still a certain deviation between the current artificial intelligence technology and the traditional learning mode, which makes it unable to ...

Design of Residents' Sports Nutrition Data Monitoring System Based on Genetic Algorithm.

With the development of modern Internet technology, the health assessment model based on computer technology has gradually become a research hotspot. ...

Machine Learning-Based Psychology Evaluation of College Students for Building Innovative Health Service System.

Leadership psychology among college students is a multidimensional concept that primarily encompasses practical ability, teamwork ability, political l...

CLADE 2.0: Evolution-Driven Cluster Learning-Assisted Directed Evolution.

Directed evolution, a revolutionary biotechnology in protein engineering, optimizes protein fitness by searching an astronomical mutational space via ...

Strategies for Ideological and Political Education in Colleges and Universities Based on Deep Learning.

Ideological and political education in colleges and universities is routinely burdened with the job of building morality and cultivating people, which...