About the HybridNeuro project

The University of Maribor (UM) has long lasting but rather academically focused experiences in the extraction of neural codes from multichannel surface electromyograms (EMG).

These techniques yield accurate estimates of muscle activity and coactivations, also in real time, and this makes them appealing candidates for applications in rehabilitation, sport sciences, ergonomics, and others.

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For complete understanding of the neurophysiology of human movement, motor learning, motor recovery and rehabilitation, and for exploitation of neural interfaces and human-machine interfaces in general, the activities of brain centers need to be analysed simultaneously with the activity of muscles.

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This also includes movement augmentation that aims at complementing the human natural ability to perform movements:

  • by supernumerary effectors in the form of robotic or bionic arms,
  • by virtual effectors extending the ways how humans communicate with smart-phones and other devices.
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Neural activity reflects the movement intention and planning independent of whether the physical movement takes place or not.

Electroencephalography (EEG) provides valuable information for assessment and treatment of motor impairments related to several neurological diseases.

Brain EEG waves

HybridNeuro Goals

To use synergies and existing expertise in EU leading partner institutions (Imperial College London,Technical University of Catalonia and Chalmers University of Technology) to:
  • enhance the skills of University of Maribor in project proposals and management,
    • increase the academic excellence, technology transfer capabilities and exploitation potential of the University of Maribor and the Eastern Slovenian Region.
  • boost scientific and technological capacity of the University of Maribor in the field of cerebro-muscular data fusion for motor learning, motor recovery and movement augmentation.