Yash Bhambhani – PhD student Yash Bhambhani is currently pursuing a PhD at the Brain-Machine Interface Systems Lab at Miguel Hernández University in Elche, Spain. His research is part of the European Doctoral Network for Neural Prosthesis and Brain Research … Continuar
Javier Juan – PhD student Lorem ergo sum
Desirée Gracia – PhD student Lorem ergo sum
Cristina Polo – PhD stsudent Cristina Polo-Hortigüela is a scientific researcher at the Brain-Machine Interface Systems Lab at Miguel Hernández University of Elche (UMH), Spain. She holds a degree in Mechanical Engineering (2019) and a degree in Industrial Electronics and … Continuar
Paula Soriano Segura – PhD student Lorem ipsu sum
Carlo Cavaliere – Postdoc Carlo Cavaliere is a postdoc researcher at the Brain-Machine Interface Systems Lab at Miguel Hernández University of Elche. He has a Bachelor’s degree in Biomedical Engineering (2013) from Polytechnic University of Catalonia, followed by a Master … Continuar
BRAINSYS: Development of low cost Brain-Machine Interface systems for rehabilitation of people with motor disabilities Summary: BRAINSYS derives from the results of the WALK project (RTI2018-096677-B-I00) looking for the valorization of the developed BMI. The main objective of BRAINSYS … Continuar
At the end of 2019 a new pandemic was declared due to the worldwide major health problem caused by the coronavirus disease 2019 (COVID-19), produced by a new type of coronavirus (SARS-CoV-2). Initially, COVID-19 was considered as … Continuar
ReGAIT: A new rehabilitation approach of locomotion for incomplete spinal cord injury patients by integrating neural interfaces, lower-limb powered robotic systems and transcutaneous spinal current stimulation strategies SUBPROJECT 1: Development of a self-tuned Neural-Machine Interface for closed-loop control of lower-limb exoskeletons … Continuar
Reconstructing kinematics trajectories during walking from EEG signals. Lower-limb robotic exoskeletons have emerged as aids for over-ground, bipedal ambulation for individuals with motor limitations. The usability and clinical relevance of these robotics systems could be further enhanced by brain-machine interfaces … Continuar