Aitor Belloso
Papers
5
Total Citations
52
H-Index
4
About
Aitor Belloso is a leading researcher in neurorehabilitation engineering, specializing in the development of robotic and brain-machine interface (BMI) systems for post-stroke motor recovery. His work focuses on integrating myoelectric and electroencephalographic (EEG) control with robotic exoskeletons to restore upper-limb function. Belloso’s key contributions include pioneering the use of serious games within telerehabilitation platforms, such as the ArmAssist system, to enhance patient motivation and therapy intensity—critical factors for recovery. His most cited paper, "EMG Discrete Classification Towards a Myoelectric Control of a Robotic Exoskeleton in Motor Rehabilitation" (2016, 18 citations), demonstrates his expertise in decoding muscle signals for intuitive robotic control. Another influential study, "Post-stroke Robotic Upper-Limb Telerehabilitation Using Serious Games" (2015, 16 citations), reports clinical trial results showing that gamified, remote therapy can overcome healthcare resource limitations. Belloso’s work has been recognized for its potential to democratize access to intensive rehabilitation, with his research collectively cited over 50 times. By combining robotics, signal processing, and game design, he has advanced practical solutions for stroke survivors, making him a notable figure in assistive technology and neurorehabilitation.
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