Guillem Cornella-Barba
Papers
2
Total Citations
11
H-Index
2
About
Guillem Cornella-Barba is advancing the frontier of neurorehabilitation technology by developing accessible, sensor-based tools to quantify the quality of human movement. His research centers on wearable sensing and computer vision for assessing upper extremity function, with a particular focus on stroke rehabilitation and neurological recovery. In his highly cited 2024 work, Cornella-Barba introduced a novel method for real-time sensing of upper extremity movement diversity using kurtosis analysis on a smartwatch, moving beyond simple movement counts to capture the quality of movement experience (QOME)—a critical dimension for neurologic rehabilitation. His equally impactful "OpenPoint" system, also from 2024, demonstrated that a standard webcam can reliably assess upper extremity proprioception, automating a classic neurological exam and making sophisticated assessment accessible beyond clinical settings. With both papers rapidly accumulating citations (6 and 5 respectively) within their first year, Cornella-Barba's work is gaining recognition for its practical, low-cost approach to solving pressing clinical challenges. His contributions are particularly notable for bridging the gap between engineering innovation and real-world rehabilitation needs, offering scalable solutions that could transform how clinicians monitor and personalize therapy for patients with neurological impairments.
Research Focus
Key Achievements
Top Papers
- 1
- 2