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Brain Computer interface Course

Brain Computer interface Course
from 4 to 360h flexible workload
certificate valid in your country

What will I learn?

This Brain-Computer Interface Course provides a quick, hands-on route from unprocessed EEG and EMG signals to dependable real-time control. Learn hardware choices, secure data capture, and sturdy preprocessing, then get to grips with feature extraction, dimensionality reduction, and classifier development. You will also tackle online adaptation, assessment measures, deployment processes, and risk mitigation tactics so you can construct and test effective BCI prototypes with assurance.

Elevify advantages

Develop skills

  • Design EEG/EMG setups: select channels, electrodes, and sampling rates for rapid proof-of-concept BCIs.
  • Build clean EEG/EMG pipelines: filter, eliminate artefacts, and standardise signals.
  • Extract robust BCI features: CSP, band power, ERD/ERS, and EMG time-frequency statistics.
  • Train and validate BCI classifiers: LDA/SVM, cross-validation, and performance metric reporting.
  • Implement real-time BCI applications: low-latency buffers, smoothing, and safe user feedback.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Great course. A lot of valuable information.
WiltonCivil Firefighter

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