Edinburgh Research Explorer

Agamemnon Krasoulis

(Former employee or visitor)

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Research Interests

My research interests lie in the intersection of signal processing, machine learning and computational neuroscience. I aim to develop biologically informed tools and techniques to improve the performance of myoelectric prostheses and brain-machine interfaces (BMIs) for motor rehabilitation.

Research outputs

  1. Automatic Myoelectric Control Site Detection Using Candid Covariance-Free Incremental Principal Component Analysis

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Intramuscular EMG For Abstract Myoelectric Control: A Proof Of Concept Study

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Sensorimotor Learning for Control of Prosthetic Hands

    Research output: Contribution to conferenceAbstractpeer-review

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ID: 18020706