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Brain Computer interface Course

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

What will I learn?

This Brain Computer Interface Course provides a quick, hands-on route from basic EEG and EMG signals to dependable real-time control. You will learn about choosing hardware, safe signal collection, and strong preprocessing methods, followed by feature extraction, reducing dimensions, and designing classifiers. It also includes online adaptation, evaluation measures, deployment processes, and strategies to handle issues, enabling you to create and test effective BCI prototypes confidently.

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: apply filters, eliminate artefacts, and standardise signals.
  • Extract robust BCI features: use CSP, band power, ERD/ERS, and EMG time-frequency statistics.
  • Train and validate BCI classifiers: employ LDA/SVM, cross-validation, and report on metrics.
  • Implement real-time BCI applications: utilise low-latency buffers, smoothing techniques, and secure user feedback.

Suggested summary

Before starting, you can change the chapters and 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 where I work.
SilviaNurse
Great course. Lots of valuable information.
WiltonCivil Firefighter

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