Brain Control Interfaces
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Follow on Instagram for UpdatesBrain Control Interfaces Syllabus — Unit-wise Content
The official GTU curriculum for Brain Control Interfaces (subject code 2743104) as prescribed for BE · Semester 4 divides the course into 5 units, covering 17 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (2743104)Unit 1 Introduction to Brain Control Interface
- Fundamentals of BCI – Structure of BCI system – Classification of BCI: Invasive
- Non-invasive and Partially invasive BCI- Brain signal acquisition
- Signal Preprocessing
- Artifacts removal
Unit 2 Electrophysiological Sources
- Sensorimotor activity –Neuronal activity in motor cortex and related areas- Electric and magnetic fields produced by the brain- signals reflecting brain metabolic activity- Mu rhythm
- Movement Related Potentials – Slow Cortical Potentials - P300 Event related potential - Visual Evoked Potential - Activity of Neural Cells - Multiple Neuromechanisms
Unit 3 Feature Extraction Methods
- Time/Space Methods – Fourier Transform
- Wavelets, AR, MA, ARMA models
- Bandpass filtering
- Template matching
- Kalman filter, PCA, Laplacian filter – Linear and Non-Linear Features
Unit 4 Feature Translation Methods
- Linear Discriminant Analysis –Nearest neighbours
- Support Vector Machines - Regression – Learning Vector Quantization – Gaussian Mixture Modeling – Hidden Markov Modeling – Neural Networks
Unit 5 Applications of BCI
- Study of BCI Competition III – Dataset I, II, III, IV and V, Functional restoration using Neuroprosthesis - Functional Electrical Stimulation
- Visual Feedback and control - External device controllers
- Case study: Brain actuated control of mobile Robot
- Ethical issues in BCI research
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