Mark Kovic
Papers
5
Total Citations
795
H-Index
5
About
Mark Kovic is a pioneering researcher in neurorehabilitation, whose work has fundamentally reshaped how we understand motor recovery after stroke. His primary research areas center on robotic training, haptic feedback, and error augmentation—a paradigm-shifting approach that deliberately amplifies movement errors during therapy to stimulate neural learning and compensation. Kovic’s seminal 2005 paper, "Evaluation of robotic training forces that either enhance or reduce error in chronic hemiparetic stroke survivors," has garnered over 470 citations, establishing the foundational evidence that manipulating error signals can drive recovery. He further advanced this concept in his 2013 study, demonstrating that augmented error signals, delivered through visual and robotic technologies, significantly enhance arm recovery in chronic stroke survivors. His 2006 work on custom-designed haptic training for restoring reaching ability (110 citations) introduced a technique where errors are temporarily magnified to encourage learning. Kovic’s notable achievement lies in integrating patient, therapist, and machine into a unified training triad, as highlighted in his 2011 study. His research has opened new avenues for cost-effective, intensive rehabilitation, challenging traditional error-reduction paradigms and offering hope for millions living with post-stroke hemiparesis.
Research Focus
Key Achievements
Top Papers
- 1
- 2Error Augmentation Enhancing Arm Recovery in Individuals With Chronic Stroke148 citations · 2013
- 3Custom-designed haptic training for restoring reaching ability110 citations · 2006
- 4Arm control recovery enhanced by error augmentation38 citations · 2011
- 5