Typhaine Koeppel
Papers
7
Total Citations
60
H-Index
5
About
Typhaine Koeppel is a leading researcher in neurorehabilitation, specializing in the use of robotic technology to enhance upper limb recovery after stroke. Her work focuses on quantifying treatment dose, improving motor performance prediction, and understanding patient-specific responses to robot-assisted therapy. Koeppel’s key contributions include demonstrating that robot-measured variables can reliably quantify therapy dose in subacute stroke patients, offering a more precise alternative to traditional estimation methods. She has also advanced the field by evaluating the test-retest reliability of kinematic assessments and identifying baseline characteristics that differentiate responders from non-responders in robotic training. Her most cited papers, such as “Using Robot-Based Variables during Upper Limb Robot-Assisted Training in Subacute Stroke Patients to Quantify Treatment Dose” (13 citations) and “Test-Retest Reliability of Kinematic Assessments for Upper Limb Robotic Rehabilitation” (13 citations), underscore her impact on evidence-based rehabilitation. Notably, her retrospective studies comparing combined conventional and robotic therapy doses have provided critical insights into optimizing motor recovery while managing costs. Koeppel’s work is essential for clinicians and researchers seeking to personalize and maximize the efficacy of robotic neurorehabilitation.
Research Focus
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