Anna Maria Bianchi
Papers
1
Total Citations
60
H-Index
1
About
Anna Maria Bianchi is a leading figure in biomedical signal processing and neurorehabilitation engineering. Her research focuses on decoding neural and muscular activity to enhance human–machine interaction, particularly for stroke rehabilitation. A central contribution is her work on EEG analysis during active and assisted repetitive movements, where she demonstrated that neural engagement differs significantly when patients actively participate versus when movements are robot-assisted. This finding, published in a 2016 paper with 60 citations, has shaped the design of more effective robot-assisted therapies by emphasizing the importance of coupling intensive training with voluntary effort. Bianchi’s broader impact spans over two decades, with her work on EEG, EMG, and multimodal biosignal analysis accumulating thousands of citations. She has also contributed to advancing wearable technologies for real-time monitoring and adaptive rehabilitation systems. Her research bridges fundamental neuroscience and clinical application, offering practical tools for restoring motor function. Recognized internationally, Bianchi continues to influence how engineers and clinicians integrate neurophysiological insights into rehabilitation robotics, making her a pivotal voice in the quest for more personalized and effective neurorehabilitation.
Research Focus
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Top Papers
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