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.
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'll learn about choosing hardware, safe signal collection, and strong preprocessing, then get to grips with feature extraction, reducing dimensions, and designing classifiers. It also includes online adaptation, evaluation measures, deployment processes, and strategies to handle issues, so you can 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 signals, remove artefacts, and normalise data.
- Extract robust BCI features: use CSP, band power, ERD/ERS, and EMG time-frequency statistics.
- Train and validate BCI classifiers: apply LDA/SVM, cross-validation, and report metrics.
- Implement real-time BCI applications: use 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.What our students say
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