Advances in Technology-Assisted Neurorehabilitation

Natalia López received Biomedical Engineering., M.Sc. and Ph.D. degrees in Control Engineering from Universidad Nacional de San Juan (UNSJ) in 2001, 2007 and 2010, respectively. In 2003 she joined the Medical Technology Department UNSJ, where she is currently a Professor and Researcher from the CONICET (National Council of Scientific Technical Research). Much of her work is focused on biomedical signal processing, especially electromyographic signals, assistive devices, and the application of robotics in stroke and upper limb rehabilitation.

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• 1. Technology assisted neurorehabilitation as part of an integral and multidisciplinary perspective2. Functional magnetic resonance imaging: a multimodal promising tool in neurorehabilitation3. Quantitative assessment of functional recovery and evolution4. Surface Electromyographic Signals as a Tool for Biomechanics and Muscle Coordination Analysis5. Biometric measures: vision and inertial systems for neurorehabilitation6. Robotics for Upper Limb Rehabilitation: A Comprehensive Exploration7. Protocols for Post-Stroke Upper Limb Motor Rehabilitation Using New Methods: Experiences in Brazil, Ecuador, Japan, Spain, and Germany8. The role of neurorehabilitation in the suppression of pathological tremor9. Robot-mediated therapy to retrain ankle foot movements10. Mixed Reality Navigation: providing visual and haptic feedback to empower navigation using Smart Walkers11. Inmersive and non-inmersive serious games design concepts for neurorehabilitation12. Functional electrical stimulation for motor neurorehabilitation13. Brain-Computer Interfaces to promote upper limb functional motor recovery after stroke14. Brain computer interfaces for communication, mobility and motor recovery15. Invasive neuromodulation as a tool for neurorehabilitation16. Non invasive neuromodulation as a novel neurorehabilitation treatment