Lluis Bernat

Papers

Total Citations

H-Index

About

Lluis Bernat is a researcher at the forefront of affordable, technology-driven motor rehabilitation. His primary focus lies in developing wearable sensor systems and telerehabilitation platforms that make physical therapy more accessible outside clinical settings. Bernat’s most notable contribution is the ARMIA system, a sensorized arm wearable introduced in his 2022 paper, which integrates inertial and surface electromyography (sEMG) sensors to enable patients to interact with serious games during remote rehabilitation. This work directly addresses the prohibitive cost of robotic assistance technologies, aiming to empower end-users with effective home-based therapy solutions. With 13 citations, his research has already begun to influence the field of low-cost rehabilitation robotics. Bernat’s work is particularly significant for its emphasis on combining real-time biofeedback with engaging game-based exercises, bridging the gap between clinical-grade monitoring and everyday usability. His achievements underscore a commitment to democratizing rehabilitation technology, offering a scalable path for patients recovering from motor impairments.