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, and real-time implementation.
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, followed by feature extraction, reducing dimensions, and designing classifiers. It also includes online adaptation, evaluation measures, deployment processes, and strategies to reduce risks, enabling you to create and check effective BCI prototypes with assurance.
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 workloadWhat our students say
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