Jose Antonio Barraza-Madrigal

Instituto Politécnico Nacional

Papers

1

Total Citations

28

H-Index

1

About

Jose Antonio Barraza-Madrigal is a leading researcher at the intersection of neural engineering and rehabilitation robotics, with a primary focus on Brain–Computer Interfaces (BCIs) and assistive technologies. His most cited work, "Robotic orthosis compared to virtual hand for Brain–Computer Interface feedback" (2018, 28 citations), represents a pivotal contribution to the field by systematically comparing the efficacy of physical robotic orthoses versus virtual hand representations for providing sensory feedback in BCI systems. This study has been instrumental in advancing our understanding of how different feedback modalities influence user performance, motor imagery, and neural adaptation, directly informing the design of more intuitive and effective prosthetic and orthotic devices. Barraza-Madrigal’s research bridges the gap between computational neuroscience and tangible clinical applications, demonstrating that real-world haptic feedback can significantly enhance BCI control accuracy and user engagement compared to purely visual simulations. His work has profound implications for developing next-generation neuroprosthetics that restore motor function and sensory experience in individuals with paralysis or limb loss. By quantifying the advantages of robotic orthoses in BCI paradigms, Barraza-Madrigal has established a foundational framework for future studies on closed-loop neural interfaces, solidifying his reputation as a key innovator in human-machine interaction and rehabilitation engineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
28
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Robotic orthosis compared to virtual hand for Brain–Computer Interface feedback
28 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Instituto Politécnico Nacional

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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