Mathew Yarossi
Papers
10
Total Citations
193
H-Index
6
About
Mathew Yarossi is a rehabilitation engineer and neuroscientist whose work sits at the intersection of neurorehabilitation, robotics, and human-machine interaction. His research spans stroke recovery, prosthetic limb control, cortical neuroplasticity, and human-robot interaction, with a particular focus on leveraging technology to restore motor function following neurological injury. Yarossi's most influential contributions examine intensive upper limb rehabilitation in the early post-stroke period, exploring how virtual reality and robotic interventions can drive cortical reorganization. His 2019 feasibility study (68 citations) and accompanying neuroimaging work (36 citations) demonstrated that ipsilesional corticospinal tract integrity critically shapes how bilateral motor cortex topography reorganizes in response to early intensive therapy — findings with meaningful implications for personalized rehabilitation. He has also advanced prosthetic hand control through multimodal fusion of EMG and computer vision to decode grasp intent in amputees (44 citations), directly addressing longstanding limitations of signal reliability in real-world conditions. Beyond stroke and prosthetics, Yarossi has contributed to optimizing TMS-based motor cortex mapping using Gaussian process learning and to enabling more natural human-robot handovers through predictive movement modeling. His broad, technically rigorous portfolio reflects a commitment to bridging neuroscience, engineering, and clinical rehabilitation to meaningfully improve patients' functional independence.
Research Focus
Key Achievements
Top Papers
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- 4Neurorehabilitation robotics: how much control should therapists have?15 citations · 2023
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- 10Real-Time Object Localization for Human-Robot Handover2 citations · 2023