Brain Computer interface Course
This course equips learners with practical skills to develop functional Brain-Computer Interface (BCI) prototypes using EEG and EMG signals, covering hardware selection, signal processing, feature extraction, classification, real-time implementation, and safety considerations.

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, then gain expertise in feature extraction, reducing dimensions, and designing classifiers. It also includes online adaptation, evaluation measures, deployment processes, and strategies to reduce risks, allowing you to create and check effective BCI prototypes with assurance.
Elevify advantages
Develop skills
- Design EEG/EMG setups: select channels, electrodes, and sampling 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 reporting metrics.
- Implement real-time BCI applications: 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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