Listar por autor "De Torres García, Irene"
Mostrando ítems 1-10 de 10
-
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 ... -
Bi-LSTM neural network for EEG-based error detection in musicians’ performance
Ariza Cervera, Isaac; Tardón-García, Lorenzo José; Barbancho-Pérez, Ana María; De Torres García, Irene; Barbancho-Pérez, Isabel (Elsevier, 2022-09)
Electroencephalography (EEG) is a tool that allows us to analyze brain activity with high temporal resolution. These measures, combined with deep learning and digital signal processing, are widely used in neurological ... -
EEG Signal Analysis for the Detection of Spoken Language Comprehension
Guillén, Sergio; Tardón-García, Lorenzo José; Barbancho-Pérez, Ana María; De Torres García, Irene; Barbancho-Pérez, Isabel (2022-09)
The human brain performs a series of complex processing steps to translate spoken language from mere sound into meaning. In this article, through the analysis of electroencephalogram (EEG) signals, we try to identify those ... -
Enhanced average for event-related potential analysis using dynamic time warping
Molina-Molina, Mario; Tardón-García, Lorenzo José; Barbancho-Pérez, Ana María; De Torres García, Irene; Barbancho-Pérez, Isabel (Elsevier, 2023-10-05)
Electroencephalography (EEG) provides a way to understand, and evaluate neurotransmission. In this context, time-locked EEG activity or event-related potentials (ERPs) are often used to capture neural activity related to ... -
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 ... -
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. ... -
Repetición-imitación y afasia: bases neurales y tratamiento
(UMA Editorial, 2017-07-01)In the past two decades, single-case studies evaluated the effect of massed repetition training to improve speech production and short-term memory deficits in conduction aphasia (CA). Improvements were reported in treated ... -
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 ... -
Tools for Evaluating the Content, Efficacy, and Usability of Mobile Health Apps According to the Consensus-Based Standards for the Selection of Health Measurement Instruments: Systematic Review
Muro Culebras, Antonio Luis; Escriche-Escuder, Adrián; Martín-Martín, Jaime; Roldán-Jiménez, Cristina; De Torres García, Irene; Ruiz-Muñoz, María; González-Sánchez, Manuel; Mayoral Cleries, Fermín; Tang, Wen; Nikolova, Borjanka; Salvatore, Alfredo; Cuesta-Vargas, Antonio[et al.] (JMIR Publicatins, 2021-12)
This study aims to analyze the psychometric properties of the tools used to measure the quality of mobile health (mHealth) apps. The researchers searched databases for mHealth app quality measurement tools and validation ... -
Training on Emotional Intelligence for Caregivers of Patients with Acquired Brain Injury and Cognitive Impairment: A Quasi-Experimental Study
De Torres García, Irene; Bustos, Fernando; Arango-Lasprilla, Juan Carlos; Fernández-Berrocal, Pablo (IOAP-MPDI, 2022-10-28)
Background: Cognitive-behavioral alterations can occur after an acquired brain injury (ABI). Objectives: To develop and evaluate a synchronous online training program on emotional intelligence (EI) for the caregivers of ...