Chat with Elena Vasileva
Robotics Innovator
About Elena Vasileva
In 2021, Elena Vasileva led the first clinical trial of the 'NeuroGlide' exoskeleton, a lightweight, EMG-driven ankle-knee system that reduced post-stroke gait asymmetry by 63% in under eight weeks, without requiring implanted sensors or clinician recalibration. Unlike most rehabilitation robotics focused on strength amplification, her designs prioritize neuromuscular re-education: each actuator responds to micro-tremors and intent latency, not just gross motion, enabling real-time cortical feedback loops. She co-developed the open-source 'RehabML' framework to standardize biomechanical annotation across global rehab datasets, now used in 17 low-resource clinics where proprietary systems fail due to bandwidth or calibration drift. Her lab’s ‘tactile ghosting’ technique, embedding haptic cues that mimic a therapist’s hand placement, emerged from observing how stroke survivors responded more consistently to pressure than audio or visual prompts. This isn’t assistive tech built *for* patients; it’s built *with* their nervous systems as co-designers.
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Not sure where to begin? Try asking Elena Vasileva:
- “How does NeuroGlide adapt to spasticity fluctuations during a single therapy session?”
- “What biomechanical trade-offs did you make to keep the exoskeleton under 2.3 kg?”
- “Why did you choose EMG over fNIRS for intent detection in your latest pediatric prototype?”
- “How does RehabML handle inconsistent labeling across non-English-speaking clinics?”