Ander Ramos‐Murguialday

About

Ander Ramos-Murguialday is a leading researcher in brain-computer interface (BCI) technology, with a particular focus on motor neurorehabilitation for individuals with paralysis, stroke, and locked-in syndrome. His work sits at the intersection of neuroscience, engineering, and clinical medicine, addressing one of the most pressing challenges in rehabilitation: restoring movement and communication to severely impaired patients. His most influential contribution, "Brain–computer interfaces for communication and rehabilitation" (2016), has garnered over 900 citations, establishing him as a definitive voice in the field. Ramos-Murguialday has pioneered the integration of EEG-based BCI systems with robotic prostheses and proprioceptive feedback, demonstrating that closing the sensorimotor loop can meaningfully drive neuroplastic recovery in chronic stroke patients. His randomized clinical trials have provided rigorous, long-term evidence for BMI-assisted therapy, helping translate laboratory innovations into viable clinical tools. Beyond stroke rehabilitation, his research explores hybrid brain-machine interfaces combining EEG and EMG signals, decoding movement intention from contralesional motor cortex activity, and the neurophysiology underlying robot-mediated training. With over 2,000 cumulative citations, Ramos-Murguialday's body of work has significantly shaped how clinicians and engineers alike approach technology-driven motor recovery.

Research Focus

Key Achievements

Top Papers

1. 1
   Brain–computer interfaces for communication and rehabilitation

   904 citations · 2016
2. 2
   Brain–computer interface in paralysis

   274 citations · 2008
3. 3
   Brain-Computer Interface in Stroke: A Review of Progress

   221 citations · 2011
4. 4
   Proprioceptive Feedback and Brain Computer Interface (BCI) Based Neuroprostheses

   217 citations · 2012
5. 5
   Brain-Machine Interface in Chronic Stroke: Randomized Trial Long-Term Follow-up

   116 citations · 2019
6. 6
   Neurophysiology of Robot-Mediated Training and Therapy: A Perspective for Future Use in Clinical Populations

   114 citations · 2013
7. 7
   Brain oscillatory signatures of motor tasks

   97 citations · 2015
8. 8
   A hybrid brain-machine interface based on EEG and EMG activity for the motor rehabilitation of stroke patients

   81 citations · 2017
9. 9
   Is EMG a Viable Alternative to BCI for Detecting Movement Intention in Severe Stroke?

   78 citations · 2018
10. 10
    Decoding Upper Limb Movement Attempt From EEG Measurements of the Contralesional Motor Cortex in Chronic Stroke Patients

    70 citations · 2016

Key Collaborators

Contact & Links