MITools

Technology

• Tool for analysing biomarkers of cortical dysfunction in neurological diseases. The tool works by post-acquisition of EEG signals.
• This solution contributes to the early identification of neurodegenerative diseases:
  • The software acquires raw EEG signals and removes artefacts such as body or eye movements, based on the assessment of the technician/doctor and with the help of a visual ICA (Independent Component Analysis) tool, all via a user-friendly interface that allows results to be interpreted as quickly as possible.
  • After processing these EEGs, the software should be able to provide an early diagnosis of a neurodegenerative disease using an associated biomarker. The first target is Charcot’s disease, but it could also be applied to Parkinson’s or Alzheimer’s disease.

Market

• The growing prevalence of diseases such as epilepsy, sleep disorders and other neurological conditions is driving demand for advanced EEG analysis tools.
• With an ageing population and the increasing prevalence of neurodegenerative diseases, demand for early diagnosis tools is expected to continue to grow.
• Research into neurodegenerative diseases such as Charcot’s disease, Alzheimer’s, Parkinson’s and Huntington’s is struggling to develop curative treatments.

• Applications:
  • Early diagnosis of neurodegenerative diseases
  • Applied research
  • Clinical trials
  • Clinical routine for patient assessment and follow-up

Development

• EEG signal acquisition and processing
• User interface and functional network architecture
• User guide created

In development:

• New version including polysomnography
• Working with a cohort to identify biomarker threshold values
• Integration of AI building blocks

IP

• Software filed march 2024

Valorisation strategy

• Licensing or codevelopment