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Enrique Tomás Martínez Beltrán
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Enrique Tomás Martínez Beltrán

Ph.D. student at the University of Murcia working at the intersection of federated learning, cybersecurity, and privacy-preserving AI for real-world systems.

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  3. Study of P300 Detection Performance by Different P300 Speller Approaches Using Electroencephalography
Conference paper2022

2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT)

Study of P300 Detection Performance by Different P300 Speller Approaches Using Electroencephalography

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TrainingPerformance evaluationComputersImage color analysisSymbolsLightingElectroencephalographyBrain-Computer InterfacesElectroencephalographyEvent-related potentialVisual stimuliP300 SpellerMachine Learning

Quick facts

Year
2022
Venue
2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT)
Identifier
lopezbernal2022p300

Suggested citation

Sergio López Bernal, Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Rubén Ortega Romero, Alberto Huertas Celdrán, Gregorio Martínez Pérez (2022). Study of P300 Detection Performance by Different P300 Speller Approaches Using Electroencephalography. 2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT).

Abstract

Authors

Sergio López BernalEnrique Tomás Martínez BeltránMario Quiles PérezRubén Ortega RomeroAlberto Huertas CeldránGregorio Martínez Pérez

Keywords

TrainingPerformance evaluationComputersImage color analysisSymbolsLightingElectroencephalographyBrain-Computer InterfacesElectroencephalographyEvent-related potentialVisual stimuliP300 SpellerMachine Learning

Related publications

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Journal article2024

Neurocomputing

NeuronLab: BCI framework for the study of biosignals

Sergio López Bernal, Juan Antonio Martínez López, Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán

Brain–Computer Interfaces (BCIs) allow the acquisition of brain activity using non-invasive techniques such as Electroencephalography (EEG). Since BCI devices do not commonly interpret the acquired EEG signals, external...

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Conference paper2025

ICC 2025 - IEEE International Conference on Communications

ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes

Pedro Miguel Sánchez Sánchez, Enrique Tomás Martínez Beltrán, Miguel Fernández Llamas, Gérôme Bovet, Gregorio Martínez Pérez, Alberto Huertas Celdrán

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Journal article2022

Expert Systems with Applications

SAFECAR: A Brain–Computer Interface and intelligent framework to detect drivers’ distractions

Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Sergio López Bernal, Gregorio Martínez Pérez, Alberto Huertas Celdrán

As recently reported by the World Health Organization (WHO), the high use of intelligent devices such as smartphones, multimedia systems, or billboards causes an increase in distraction and, consequently, fatal accidents...

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