Mohammad Bataineh
Papers
1
Total Citations
2
H-Index
1
About
Mohammad Bataineh is a researcher at the forefront of brain-machine interfaces (BMI) and neural signal processing. His work focuses on decoding motor intent from neural activity to restore function for individuals with paralysis or limb loss. In his notable pilot study, Bataineh explored how neural signals from distinct brain regions—including the motor cortex and premotor areas—can be used to predict grip force, a critical step toward enabling fine, controlled movements in robotic prosthetics. Though early in its citation history, this work addresses a key challenge in BMI design: translating neural commands into precise, dexterous actions rather than coarse movements. By investigating the neural correlates of grip force across multiple brain regions, Bataineh contributes foundational insights that could improve the responsiveness and naturalness of prosthetic limbs. His research sits at the intersection of neuroscience, signal processing, and rehabilitation engineering, with potential applications in assistive technology and neuroprosthetics. As the field advances toward clinically viable BMI systems, Bataineh’s work represents an important step in bridging the gap between neural activity and functional motor restoration.
Research Focus
Key Achievements
Top Papers
- 1