Brain Computer interface Course
This course equips learners with practical skills to develop functional Brain-Computer Interface (BCI) systems using EEG and EMG signals, from hardware selection to real-time deployment.

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 expert techniques in feature extraction, reducing dimensions, and designing classifiers. The course also includes online adaptation, assessment measures, deployment processes, and risk reduction approaches, enabling you to create and test effective BCI prototypes with assurance.
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: apply LDA/SVM, cross-validation, and performance metrics.
- Implement real-time BCI applications: manage low-latency buffers, apply smoothing, and provide secure 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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