Brain Computer interface Course
This course offers a practical introduction to Brain-Computer Interfaces (BCI), covering signal acquisition, processing, feature extraction, classification, and real-time implementation for creating effective prototypes.

flexible workload of 4 to 360h
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, then gain expertise in feature extraction, reducing dimensions, and designing classifiers. You will also explore online adaptation, evaluation measures, deployment processes, and mitigation approaches to confidently create and test effective BCI prototypes.
Elevify advantages
Develop skills
- Design EEG/EMG setups: select channels, electrodes, and sampling rates for quick proof-of-concept BCIs.
- Build clean EEG/EMG pipelines: filter, remove artefacts, and normalise 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 metric reporting.
- Implement real-time BCI apps: 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 workloadWhat our students say
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