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Brain Computer interface Course

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

What will I learn?

Gain a practical pathway from EEG and EMG signals to real-time control in this Brain-Computer Interface course. Master hardware choices, safe data collection, preprocessing techniques, feature extraction, dimensionality reduction, classifier building, online adaptation, evaluation methods, deployment processes, and risk mitigation to confidently create and test BCI prototypes.

Elevify advantages

Develop skills

  • Design effective EEG/EMG setups by selecting channels, electrodes, and sampling rates for quick proof-of-concept BCIs.
  • Create reliable EEG/EMG data pipelines through filtering, artefact removal, and signal normalisation.
  • Extract strong BCI features using CSP, band power, ERD/ERS, and EMG time-frequency analysis.
  • Develop and validate BCI classifiers with LDA/SVM, cross-validation techniques, and performance metrics.
  • Build real-time BCI applications featuring low-latency buffering, signal smoothing, and secure 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

I was just promoted to Intelligence Advisor of the Prison System, and the course from Elevify was crucial for me to be chosen.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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