CBM342 Brain computer interface

                                                           

                                 Stuff Sector

Prepared by  
     S.Santhosh (Admin) 
Important questions 
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Unit I

INTRODUCTION TO BCI

 Structure of BCI system – Classification of BCI 

 Invasive, Non-invasive and Partially invasive BCI 

 EEG signal acquisition 

Unit II

ELECTROPHYSIOLOGICAL SOURCES

Sensorimotor activity , Mu rhythm, Movement Related Potentials 

Slow Cortical Potentials , P300 Visual Evoked Potential ***

Activity of Neural Cells – Multiple Neuromechanisms.

Unit III

FEATURE EXTRACTION METHODS 

Time/Space Methods ,Fourier Transform**** PSD – Wavelets ,Parametric Methods 

AR,MA,ARMA models ***, PCA

Unit IV FEATURE TRANSLATION METHODS

Linear Discriminant Analysis , Support Vector Machines , Regression , Vector Quantization

Gaussian Mixture Modeling,  Hidden Markov Modeling****

Unit V

APPLICATIONS OF BCI

Functional restoration using Neuroprosthesis, Electrical Stimulation, Visual Feedback and control 

External device control, Case study: Brain actuated control of mobile Robot.**** May be part c 

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**Very important questions are bolded and may be asked based on this topic

PART-C

1.Compulsory Questions {a case study where the student will have to read and analyse the subject }

mostly asked from unit 2, 5(OR) a situation given and you have to answer on your own

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