Enrique Hortal

About

Enrique Hortal is a pioneering researcher in brain-machine interfaces (BMIs) and neural signal processing, with a particular focus on harnessing electroencephalographic (EEG) signals to restore autonomy for individuals with motor disabilities. His work sits at the intersection of neuroscience, machine learning, and assistive robotics, making him a significant contributor to the field of human-machine interaction. Hortal's most influential contribution, "SVM-based Brain–Machine Interface for controlling a robot arm through four mental tasks" (2014, 124 citations), demonstrated how support vector machines could decode multiple mental states to enable sophisticated robotic control. Building on this, he explored multimodal interfaces by combining BMIs with electrooculography, expanding the range of assistive commands available to users. His research into detecting movement intention before it occurs — particularly for arm reaching and walking initiation — represents a meaningful step toward proactive neuroprosthetics and rehabilitation technologies. Across his body of work, Hortal consistently champions non-invasive approaches that translate real-world brain activity into practical device control, from two-degree-of-freedom robotic arms to pick-and-place tasks. With over 300 cumulative citations, his contributions have meaningfully shaped how researchers design EEG-based assistive systems, offering genuine pathways toward greater independence for people living with movement impairments.

Research Focus

Key Achievements

Top Papers

1. 1
   SVM-based Brain–Machine Interface for controlling a robot arm through four mental tasks

   124 citations · 2014
2. 2
   Evaluating Classifiers to Detect Arm Movement Intention from EEG Signals

   57 citations · 2014
3. 3
   Combining a Brain–Machine Interface and an Electrooculography Interface to perform pick and place tasks with a robotic arm

   36 citations · 2015
4. 4
   Control of a 2 DoF robot using a Brain–Machine Interface

   30 citations · 2014
5. 5
   Using EEG Signals to Detect the Intention of Walking Initiation and Stop

   19 citations · 2015
6. 6
   Online classification of two mental tasks using a SVM-based BCI system

   16 citations · 2013
7. 7
   A Supplementary System for a Brain-Machine Interface Based on Jaw Artifacts for the Bidimensional Control of a Robotic Arm

   14 citations · 2014
8. 8
   Passive robot assistance in arm movement decoding from EEG signals

   8 citations · 2013
9. 9
   Brain-Machine Interface system to differentiate between five mental tasks

   4 citations · 2014
10. 10
    Brain-Machine Interfaces for Assistive Robotics

    2 citations · 2015

Key Collaborators

Contact & Links