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Listar por autor "Biró, Attila"
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Advanced distant diagnostics techniques and sensors in sports safety and health condition prediction.
Biró, Attila (UMA Editorial, 2024)El auge del deportes de competición implica la evolución de sistemas complementarios que permitan el desarrollo de una práctica deportiva segura, siendo un tema en constante evolución. La integración de sensores, wearables ... -
AI-Assisted Fatigue and Stamina Control for Performance Sports on IMU-Generated Multivariate Times Series Datasets
Biró, Attila; Cuesta-Vargas, Antonio; Szilágyi, László (MDPI, 2023-12-26)Background: Optimal sports performance requires a balance between intensive training and adequate rest. IMUs provide objective, quantifiable data to analyze performance dynamics, despite the challenges in quantifying athlete ... -
Assessment of the Quality of Mobile Applications (Apps) for Management of Low Back Pain Using the Mobile App Rating Scale (MARS).
Escriche-Escuder, Adrián; De-Torres, Irene; Roldán-Jiménez, Cristina; Martín-Martín, Jaime; Muro Culebras, Antonio Luis; González-Sánchez, Manuel; Ruiz-Muñoz, María; Mayoral Cleries, Fermín; Biró, Attila; Tang, Wen; Nikolova, Borjanka; Salvatore, Alfredo; Cuesta-Vargas, Antonio[et al.] (MDPI, 2020-12)Digital health interventions may improve different behaviours. However, the rapid proliferation of technological solutions often does not allow for a correct assessment of the quality of the tools. This study aims to review ... -
Behavior Change Techniques and the Effects Associated With Digital Behavior Change Interventions in Sedentary Behavior in the Clinical Population: A Systematic Review.
Martín-Martín, Jaime; Roldán-Jiménez, Cristina; De Torres García, Irene; Muro Culebras, Antonio Luis; Escriche-Escuder, Adrián; González-Sánchez, Manuel; Ruiz-Muñoz, María; Mayoral Cleries, Fermín; Biró, Attila; Tang, Wen; Nikolova, Borjanka; Salvatore, Alfredo; Cuesta-Vargas, Antonio[et al.] (Frontiers, 2021-07)This systematic review aimed to evaluate the most frequently used behavior change techniques (BCTs) in digital health interventions targeting sedentary behavior (SB) and to review their effects. Eighteen randomized clinical ... -
Effectiveness of a gamified digital intervention based on lifestyle modification (iGAME) in secondary prevention: a protocol for a randomised controlled trial
Cuesta-Vargas, Antonio; Biró, Attila; Escriche-Escuder, Adrián; Trinidad-Fernández, Manuel; García-Conejo, Celia; Roldán-Jiménez, Cristina; Salvatore, Alfredo; Tang, Wen; Nikolova, Borjanka; Muro Culebras, Antonio Luis; Martín-Martín, Jaime; González-Sánchez, Manuel; Ruiz-Muñoz, María; Mayoral, Fermín[et al.] (BMJ Journals, 2023-06)Introduction Combating physical inactivity and reducing sitting time are one of the principal challenges proposed by public health systems. Gamification has been seen as an innovative, functional and motivating strategy ... -
Evaluation of Android and Apple Store Depression Applications Based on Mobile Application Rating Scale.
Martín-Martín, Jaime; Muro Culebras, Antonio Luis; Roldán-Jiménez, Cristina; Escriche-Escuder, Adrián; De Torres García, Irene; González-Sánchez, Manuel; Ruiz-Muñoz, María; Mayoral Cleries, Fermín; Biró, Attila; Tang, Wen; Nikolova, Borjanka; Salvatore, Alfredo; Cuesta-Vargas, Antonio[et al.] (MDPI, 2021-11)There are a large number of mobile applications that allow the monitoring of health status. The quality of the applications is only evaluated by users and not by standard criteria. This study aimed to examine depression-related ... -
Machine learning on prediction of relative physical activity intensity using medical radar sensor and 3D accelerometer
Biró, Attila; Szilágyi, Sándor Miklós; Szilágyi, László; Martín-Martín, Jaime; Cuesta-Vargas, Antonio (MDPI, 2023-03-30)Background: One of the most critical topics in sports safety today is the reduction in injury risks through controlled fatigue using non-invasive athlete monitoring. Due to the risk of injuries, it is prohibited to use ... -
Reliability Study of Inertial Sensors LIS2DH12 Compared to ActiGraph GT9X: Based on Free Code
Martín-Martín, Jaime; Jiménez-Partinen, Ariadna; De Torres García, Irene; Escriche-Escuder, Adrián; González-Sánchez, Manuel; Muro Culebras, Antonio Luis; Roldán-Jiménez, Cristina; Ruiz-Muñoz, María; Mayoral Cleries, Fermín; Biró, Attila; Tang, Wen; Nikolova, Borjanka; Salvatore, Alfredo; Cuesta-Vargas, Antonio[et al.] (IOAP-MPDI, 2022-05-05)The study’s purpose was to assess the reliability of the LIS2DH12 in two different positions, using the commercial sensor Actigraph GT9X as a reference instrument. Five participants completed two gait tests on a treadmill. ... -
Synthetized Multilanguage OCR Using CRNN and SVTR Models for Realtime Collaborative Tools
Biró, Attila; Cuesta-Vargas, Antonio; Martín-Martín, Jaime; Szilágyi, László; Miklós Szilágyi, Sándor (MDPI, 2023-03-30)Background: Remote diagnosis using collaborative tools have led to multilingual joint working sessions in various domains, including comprehensive health care, and resulting in more inclusive health care services. One of ... -
The Validity of the Energy Expenditure Criteria Based on Open Source Code through two Inertial Sensors
Martín-Martín, Jaime; Wang, Li; De Torres García, Irene; Escriche-Escuder, Adrián; González-Sánchez, Manuel; Muro Culebras, Antonio Luis; Roldán-Jiménez, Cristina; Ruiz‐Muñoz, María; Mayoral Cleries, Fermín; Biró, Attila; Tang, Wen; Nikolova, Borjanka; Salvatore, Alfredo; Cuesta-Vargas, Antonio[et al.] (IOAP-MPDI, 2022-03-26)Through this study, we developed and validated a system for energy expenditure calculation, which only requires low-cost inertial sensors and open source R software. Five healthy subjects ran at ten different speeds while ... -
Visual Object Detection with DETR to Support Video-Diagnosis Using Conference Tools
Biró, Attila; Tünde Janosi-Rancz, Katalin; Szilágyi, László; Cuesta-Vargas, Antonio; Martín-Martín, Jaime; Miklós Szilágyi, Sándor[et al.] (MDPI, 2022-06-12)This text discusses the need for real-time multilingual sentence detection during online video presentations, particularly in the healthcare sector for remote diagnosis. The use of visual (textual) object detection and ...