Anualidad
Research Activity Report
Control de Exoesqueletos del Miembro Inferior mediante Interfaces Cerebro-Máquina: Proyecto Walk
Aplicación de técnicas de IA en neurotecnologías para asistencia y rehabilitación de personas con limitaciones motoras
Analysis of frequency bands and channels configuration for detecting intention of change speed through EEG
Assessing footwear comfort by electroencephalography analysis
The actuation system of the ankle exoskeleton T-FLEX: first use experimental validation in people with stroke
Frequency band selection for a lower-limb MI BCI to control a treadmill
Improving motor imagery of gait on a brain-computer interface by means of virtual reality: A case of study
Análisis de interfaces cerebro-máquina (bmi) basadas en la imaginación motora de la marcha
Exoesqueletos robóticos de bajo coste para rehabilitación y asistencia de pacientes con daño neurológico
Análisis de la configuración óptima de electrodos para la detección de atención en tarea de imaginación motora
Protocolos de tDCS para la mejora de aplicaciones BMI relacionadas con la imaginación motora
Uso de Brain-Computer Interfaces para el aprendizaje motor. Aplicaciones en neurorehabilitación
XIII SIMPOSIO CEA DE BIOINGENIERIA (Congress Organization)
BCI based on lower-limb motor imagery and a state machine for walking on a treadmill
A BMI based on motor imagery and attention for commanding a lower-limb robotic exoskeleton: a case of study
Brain-Machine Interfaces for Controlling Robotic Exoskeletons¿.
Analyzing the performance of segmented decoding of lower limb movements from EEG signals with combinations of electrodes, gaps, and delays
DECODING KINEMATIC VARIABLES FROM ELECTROENCEPHALOGRAPHIC SIGNALS DURING LOWER LIMB MOBILITY PROTOCOLS
Interfaces cerebro-máquina para interaccionar con exoesqueletos
Development of an Interface forthe Control of Robotic ExoskeletonsBased on Stroke RehabilitationTechniques
Estudio comparativo de BMI basadas en imaginación motora para el control de una cinta de andar
BMIs for upper and lower limb robotic exoskeletons
Lessons Learned from Clinical Trials of a Neurorehabilitation Therapy based on tDCS, BMI and Pedaling Systems
APRENDIZAJE BASADO EN PROBLEMAS PARA ADQUIRIR COMPETENCIAS MULTIDISCIPLINARES PARA LA FORMACIÓN EN ELECTROMEDICINA
Classify four imagined objects with EEG signals
Synergistic parameters of motor adaptation in cycling activities with variable resistance
Brain symmetry analysis while performing lower-limb motor imagery for a BCI
Electrotecnia Aplicada, un caso de estudio de evolución de presencialidad total, pasando por semipresencialidad a finalmente docencia remota en tiempos de COVID
XI CONGRESO IBEROAMERICANO DE TECNOLOGIAS DE APOYO A LA DISCAPACIDAD (IBERDISCAP) (Congress Organization)
JORNADAS DE AUTOMATICA 2021 (Congress Organization)
Comparison of Different Brain¿Computer Interfaces to Assess Motor Imagery Using a Lower-Limb Exoskeleton
Brain-Machine Interface Systems Lab 2021
Detection of the Intention of Direction Changes During Gait Through EEG Signals
Decoding the Torque of Lower Limb Joints from EEG Recordings of Pre-gait Movements Using a Machine Learning Scheme
Empirical evidence connecting the neural mechanism behind motor coordination and force generation on healthy humans
Analysis of frequency bands and channels configuration for detecting intention of change direction through EEG
Optimal calibration time for lower-limb Brain-Machine Interfaces
RDF description of Brain-Machine Interface Systems Lab 2021 - http://research.umh.es/vivo/pub/memoria/2021/gi_1098