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

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This Brain Computer Interface Course offers a quick, hands-on route from basic EEG and EMG signals to dependable real-time control. You will learn how to choose hardware, acquire signals safely, and preprocess them effectively, then gain expertise in feature extraction, reducing dimensions, and designing classifiers. Additionally, you will explore online adaptation, evaluation measures, deployment processes, and strategies to mitigate issues, enabling you to confidently create and verify 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 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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