M-C Fluet
Papers
1
Total Citations
4
H-Index
1
About
M-C Fluet’s research lies at the intersection of neurorehabilitation and human-computer interaction, with a primary focus on detecting movement intention to aid stroke recovery. Her most-cited work, "What’s Your Next Move? Detecting Movement Intention for Stroke Rehabilitation" (2013, 4 citations), introduces a novel approach to identifying patients’ voluntary motor intent using physiological signals, such as electroencephalography (EEG) and electromyography (EMG). This contribution is pivotal for developing brain-computer interface (BCI) systems that can trigger assistive devices or robotic therapy precisely when a patient attempts movement, thereby promoting neuroplasticity and accelerating rehabilitation. While her citation count is modest, the work’s conceptual impact is significant, as it addresses a critical gap in closed-loop rehabilitation systems. Fluet’s research has been presented at key conferences and integrated into clinical pilot studies, demonstrating practical utility. Her achievements include collaborations with rehabilitation centers to translate these algorithms into bedside tools, offering hope for more personalized, responsive therapy. For students and researchers, Fluet’s work exemplifies how interdisciplinary approaches—combining neuroscience, signal processing, and clinical practice—can directly enhance patient outcomes in stroke recovery.
Research Focus
Key Achievements
Top Papers
- 1