Papers

2

Total Citations

28

H-Index

2

About

Javier Gil-Castillo is a researcher at the forefront of neurorehabilitation engineering, specializing in the development of hybrid assistive technologies for motor recovery. His work centers on integrating functional electrical stimulation (FES) with robotic systems to create adaptive, patient-specific therapies for individuals with neurological impairments, particularly those recovering from stroke. Gil-Castillo’s major contributions include pioneering a robot-assisted therapy methodology grounded in the Bobath concept, which enhances postural control and muscle strength during hemiplegic gait rehabilitation. His 2022 study on this approach, with 25 citations, demonstrates its feasibility in translating conventional therapeutic exercises into robotic assistance. More recently, he has advanced the field by designing a modular neuroprosthesis that seamlessly combines FES with robotic devices, addressing critical limitations like muscle fatigue and nonlinear response. This hybrid system, detailed in his 2024 work, offers tailored assistance for gait rehabilitation, marking a significant step toward more effective, personalized neuroprosthetic solutions. With a growing citation impact, Gil-Castillo’s research is shaping the future of assistive technology, bridging the gap between robotics and neurostimulation to restore mobility and improve quality of life for patients with motor disabilities.

Research Focus

Key Achievements

2
H-Index
2
Papers
28
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
A Robot-Assisted Therapy to Increase Muscle Strength in Hemiplegic Gait Rehabilitation
25 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Consejo Superior de Investigaciones Científicas, Centre for Automation and Robotics

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago