Antonio I. Cuesta-Vargas

According to our database, Antonio I. Cuesta-Vargas authored at least 19 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AI-Assisted Fatigue and Stamina Control for Performance Sports on IMU-Generated Multivariate Times Series Datasets.

Attila Biró, Antonio Ignacio Cuesta-Vargas, László Szilágyi

Sensors, 2024

2023

Machine Learning on Prediction of Relative Physical Activity Intensity Using Medical Radar Sensor and 3D Accelerometer.

Attila Biró, Sándor Miklós Szilágyi, László Szilágyi, Jaime Martín-Martín, Antonio I. Cuesta-Vargas

Sensors, April, 2023

Head-Mounted Display for Clinical Evaluation of Neck Movement Validation with Meta Quest 2.

Manuel Trinidad-Fernández, Benoît Bossavit, Javier Salgado-Fernández, Susana Abbate-Chica, Antonio José Fernández Leiva, Antonio I. Cuesta-Vargas

Sensors, March, 2023

Differences in Tridimensional Shoulder Kinematics between Asymptomatic Subjects and Subjects Suffering from Rotator Cuff Tears by Means of Inertial Sensors: A Cross-Sectional Study.

Cristina Roldán Jiménez, Miguel Cuadros-Romero, Paul Bennett, Antonio I. Cuesta-Vargas

Sensors, January, 2023

sRPE and ACWR to Control Fatigue Levels and Minimize Injuries in Performance Sports.

Attila Biró, Antonio Ignacio Cuesta-Vargas, László Szilágyi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Real-Time Disease and COVID-19 Detection Pipeline from Voice for Performance Sports.

Attila Biró, Antonio Ignacio Cuesta-Vargas, Sándor Miklós Szilágyi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Applied AI for Real-Time Detection of Lesions and Tumors Following Severe Head Injuries.

Attila Biró, Antonio Ignacio Cuesta-Vargas, László Szilágyi

Proceedings of the 21st IEEE Jubilee International Symposium on Intelligent Systems and Informatics, 2023

Predictive Sports Strategy Approach Using YOLO and YOLO-NAS in Performance Sports.

Attila Biró, Antonio Ignacio Cuesta-Vargas, Sándor Miklós Szilágyi

Proceedings of the 21st IEEE Jubilee International Symposium on Intelligent Systems and Informatics, 2023

2022

The Validity of the Energy Expenditure Criteria Based on Open Source Code through two Inertial Sensors.

Jaime Martín-Martín, Li Wang, Irene De-Torres, Adrian Escriche-Escuder, Manuel González-Sánchez, Antonio Muro-Culebras, Cristina Roldán Jiménez, María Ruiz-Muñoz, Fermin Mayoral-Cleries, Attila Biró, Wen Tang, Borjanka Nikolova, Alfredo Salvatore, Antonio I. Cuesta-Vargas

Sensors, 2022

Three-Dimensional Kinematics during Shoulder Scaption in Asymptomatic and Symptomatic Subjects by Inertial Sensors: A Cross-Sectional Study.

Cristina Roldán Jiménez, Antonio I. Cuesta-Vargas, Jaime Martín-Martín

Sensors, 2022

2021

Human motion capture for movement limitation analysis using an RGB-D camera in spondyloarthritis: a validation study.

Manuel Trinidad-Fernández, Antonio I. Cuesta-Vargas, Peter Vaes, David Beckwée, Francisco Angel Moreno, Javier González Jiménez, Antonio Fernández-Nebro, Sara Manrique-Arija, Inmaculada Ureña-Garnica, Manuel González-Sánchez

Medical Biol. Eng. Comput., 2021

Behavior Change Techniques and the Effects Associated With Digital Behavior Change Interventions in Sedentary Behavior in the Clinical Population: A Systematic Review.

Jaime Martín-Martín, Cristina Roldán Jiménez, Irene De-Torres, Antonio Muro-Culebras, Adrian Escriche-Escuder, Manuel González-Sánchez, María Ruiz-Muñoz, Fermin Mayoral-Cleries, Attila Biró, Wen Tang, Borjanka Nikolova, Alfredo Salvatore, Antonio I. Cuesta-Vargas

Frontiers Digit. Health, 2021

2020

Validation, Reliability, and Responsiveness Outcomes of Kinematic Assessment with an RGB-D Camera to Analyze Movement in Subacute and Chronic Low Back Pain.

Manuel Trinidad-Fernández, David Beckwée, Antonio I. Cuesta-Vargas, Manuel González-Sánchez, Francisco Angel Moreno, Javier González Jiménez, Erika Joos, Peter Vaes

Sensors, 2020

Impact of Visual Biofeedback of Trunk Sway Smoothness on Motor Learning during Unipedal Stance.

Carlos Cruz-Montecinos, Antonio I. Cuesta-Vargas, Cristian Muñoz, Dante Flores, Joseph Ellsworth, Carlos de la Fuente, Joaquín Calatayud, Gonzalo Rivera-Lillo, Verónica Soto-Arellano, Claudio Tapia, Xavier García-Massó

Sensors, 2020

2019

Fatigue Detection during Sit-To-Stand Test Based on Surface Electromyography and Acceleration: A Case Study.

Cristina Roldán Jiménez, Paul Bennett, Andrés Ortiz García, Antonio I. Cuesta-Vargas

Sensors, 2019

Feasibility study: Towards Estimation of Fatigue Level in Robot-Assisted Exercise for Cardiac Rehabilitation.

Andrés Aguirre, Jonathan Casas, Nathalia Céspedes, Marcela C. Múnera, Mónica Rincon-Roncancio, Antonio I. Cuesta-Vargas, Carlos A. Cifuentes

Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019

2018

Thematic Trends in Complementary and Alternative Medicine Applied in Cancer-Related Symptoms.

José Antonio Moral-Muñoz, Manuel Arroyo Morales, Barbara F. Piper, Antonio I. Cuesta-Vargas, Lourdes Díaz-Rodríguez, William C. S. Cho, Enrique Herrera-Viedma, Manuel J. Cobo

J. Data Inf. Sci., 2018

2017

Experimental Validation of Depth Cameras for the Parameterization of Functional Balance of Patients in Clinical Tests.

Francisco Angel Moreno, José Antonio Merchán-Baeza, Manuel González-Sánchez, Javier González Jiménez, Antonio I. Cuesta-Vargas

Sensors, 2017

2013

Relationship of moderate and low isometric lumbar extension through architectural and muscular activity variables: a cross sectional study.

Antonio I. Cuesta-Vargas, Manuel González-Sánchez

BMC Medical Imaging, 2013