Feature and Time Series Extraction in Artificial Neural Networks for Arousal Detection from Electrodermal Activity. - Roberto Sánchez-Reolid; Francisco López de la Rosa; Daniel Sánchez-Reolid; María T. López; Antonio Fernández-Caballero 001 (IWANN (1), 2021)

Electroencephalographic Signal Processing from Brain-Computer-Interface Following Image-Based Emotion Induction. - Eloy García-Pérez; Daniel Sánchez-Reolid; Roberto Sánchez-Reolid; Antonio Fernández-Caballero 001; José Miguel Latorre; Alejandro L. Borja (ISAmI, 2022)

Acquisition and Synchronisation of Multi-source Physiological Data Using Microservices and Event-Driven Architecture. - Roberto Sánchez-Reolid; Daniel Sánchez-Reolid; António Pereira 001; Antonio Fernández-Caballero 001 (ISAmI, 2022)

Machine Learning Techniques for Arousal Classification from Electrodermal Activity: A Systematic Review. - Roberto Sánchez-Reolid; Francisco López de la Rosa; Daniel Sánchez-Reolid; María T. López; Antonio Fernández-Caballero 001 (Sensors, 2022)

Generic Architecture for Multisource Physiological Signal Acquisition, Processing and Classification Based on Microservices. - Roberto Sánchez-Reolid; Daniel Sánchez-Reolid; Clara Ayora; José Luis de la Vara; António Pereira 001; Antonio Fernández-Caballero 001 (DCAI (1), 2023)

Pleasure and Displeasure Identification from fNIRS Signals. - Daniel Sánchez-Reolid; Roberto Sánchez-Reolid; Antonio Fernández-Caballero 001; Alejandro L. Borja (ISAmI, 2023)

Binary Classification Methods for Movement Analysis from Functional Near-Infrared Spectroscopy Signals. - Daniel Sánchez-Reolid; Roberto Sánchez-Reolid; José Luis Gómez-Sirvent; Alejandro L. Borja; José M. Ferrández; Antonio Fernández-Caballero 001 (IWINAC, 2024)