Pascal Jamin
Papers
2
Total Citations
19
H-Index
2
About
Pascal Jamin is a leading researcher in neurorehabilitation engineering, with a focus on quantifying and optimizing robot-assisted therapy for stroke survivors. His work centers on two critical challenges: precisely measuring treatment dose during upper limb robotic training and understanding why some patients respond better than others. In his 2022 study, Jamin demonstrated how robot-measured variables can objectively quantify treatment dose in subacute stroke patients—a breakthrough over traditional approximate estimates, earning 13 citations for its clinical relevance. His 2023 follow-up (6 citations) investigated the stark variability in motor recovery, identifying key differences between responders and non-responders by analyzing baseline characteristics and robotic training dose. Jamin’s contributions are pivotal for personalizing rehabilitation protocols, moving beyond one-size-fits-all approaches. By leveraging performance-based metrics, he provides clinicians with data-driven tools to tailor therapy intensity and duration, ultimately aiming to maximize functional gains. His work is essential reading for researchers and clinicians seeking to bridge the gap between robotic technology and patient-centered stroke recovery.
Research Focus
Key Achievements
Top Papers
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