Brain Computer interface Course
This course equips you with essential knowledge in Brain-Computer Interface technology, focusing on EEG/EMG data handling, preprocessing techniques, feature extraction methods, and real-time classification. Develop robust, ethical BCI systems suitable for advanced tech products and research applications, ensuring safe and effective deployment.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain practical skills in Brain-Computer Interfaces, covering EEG and EMG signal acquisition, preprocessing, feature extraction, classification, real-time adaptation, evaluation, and deployment to create reliable BCI prototypes confidently.
Elevify advantages
Develop skills
- Design effective EEG/EMG setups by selecting channels, electrodes, and sampling rates for quick proof-of-concept BCIs.
- Create reliable EEG/EMG data pipelines through filtering, artefact removal, and signal normalisation.
- Extract strong BCI features including CSP, band power, ERD/ERS, and EMG time-frequency statistics.
- Train and validate BCI classifiers using LDA/SVM, cross-validation, and performance metrics.
- Develop real-time BCI applications with low-latency buffering, signal smoothing, and secure 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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