Nerea Irastorza-Landa
Bernstein Center for Computational Neuroscience Tübingen, University of Tübingen, Ikerbasque
Papers
11
Total Citations
300
H-Index
8
About
Nerea Irastorza-Landa is a biomedical engineer and neurotechnology researcher whose work sits at the intersection of neural signal processing, brain-machine interfaces, and motor rehabilitation. Her research focuses primarily on developing advanced control systems for rehabilitation robotics, leveraging electroencephalography (EEG) and electromyography (EMG) signals to restore movement in stroke patients. Among her most influential contributions is her pioneering work on hybrid brain-machine interfaces (hBMIs), which combine EEG and EMG signals to create more robust and accurate control systems than traditional single-modality approaches — a 2017 paper that has garnered 81 citations. Equally significant is her research demonstrating that distinct reaching movements from the same limb can be decoded from EEG signals, a breakthrough with major implications for multi-dimensional neuroprosthetic control (65 citations). Her investigations into EMG-based kinematics decoding and continuous EMG classification have further advanced the practical design of exoskeleton control interfaces for rehabilitation. More recently, Irastorza-Landa has contributed to understanding muscle synergies in chronic stroke patients, introducing a functional synergy recruitment index as a reliable biomarker for tracking motor recovery. Across her career, her cumulative body of work reflects a commitment to translating neuroscientific insights into clinically meaningful rehabilitation technologies, earning her nearly 300 citations to date.
Research Focus
Key Achievements
Top Papers
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- 2Classification of different reaching movements from the same limb using EEG65 citations · 2017
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- 8Towards decoding of functional movements from the same limb using EEG12 citations · 2015
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