Brain Computer Interface and Its Applications Med Ele 8th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective V) detail syllabus for Medical Electronics (Med Ele), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (BM8075), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other med ele 8th sem syllabus for be 2017 regulation anna univ you can visit Med Ele 8th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective V subjects do refer to Professional Elective V. The detail syllabus for brain computer interface and its applications is as follows.
Course Objective:
The student should be made to:
- Understand the basic concepts of brain computer interface
- Study the various signal acquisition methods
- Learn about the signal processing methods used in BCI
- Understand the various machine learning methods of BCI.
- Learn the various applications of BCI
Unit I
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Unit II
Brain Activation
Brain activation patterns – Spikes, Oscillatory potential and ERD, Slow cortical potentials, Movement related potentials-Mu rhythms, motor imagery, Stimulus related potentials – Visual Evoked Potentials – P300 and Auditory Evoked Potentials, Potentials related to cognitive tasks.
Unit III
Feature Extraction Methods
Data Processing – Spike sorting, Frequency domain analysis, Wavelet analysis, Time domain analysis, Spatial filtering -Principal Component Analysis (PCA), Independent Component Analysis (ICA), Artefacts reduction, Feature Extraction – Phase synchronization and coherence
Unit IV
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Unit V
Applications of Bci
Case Studies – Invasive BCIs: decoding and tracking arm (hand) position, controlling prosthetic devices such as orthotic hands, Cursor and robotic control using multi electrode array implant, Cortical control of muscles via functional electrical stimulation. Noninvasive BCIs:P300 Mind Speller, Visual cognitive BCI, Emotion detection. Ethics of Brain Computer Interfacing.
Course Outcome:
At the end of the course, the student should be able to:
- Comprehend and appreciate the significance and role of this course in the present contemporary world.
- Evaluate concept of BCI.
- Assign functions appropriately to the human and to the machine.
- Select appropriate feature extraction methods
- Use machine learning algorithms for translation.
Text Books:
- Rajesh.P.N.Rao, Brain-Computer Interfacing: An Introduction, Cambridge University Press, First edition, 2013.
- Jonathan Wolpaw, Elizabeth Winter Wolpaw, Brain Computer Interfaces: Principles and practice, Oxford University Press, USA, Edition 1, January 2012.
References:
- Ella Hassianien, A &Azar.A.T (Editors), Brain-Computer Interfaces Current Trends and Applications, Springer, 2015.
- Bernhard Graimann, Brendan Allison, GertPfurtscheller, “Brain-Computer Interfaces: Revolutionizing Human-Computer Interaction”, Springer, 2010
- Ali Bashashati, MehrdadFatourechi, Rabab K Ward, Gary E Birch, A survey of signal Processing algorithms in brain-computer interfaces based on electrical brain signals Journal of Neural Engineering, Vol.4, 2007, PP.32-57
- Arnon Kohen, Biomedical Signal Processing, Vol I and II, CRC Press Inc, Boca Rato, Florida.
- Bishop C.M., Neural networks for Pattern Recognition, Oxford, Clarendon Press, 1995.
- Andrew Webb, Statistical Pattern Recognition, Wiley International, Second Edition, 2002.
For detail syllabus of all other subjects of BE Med Ele, 2017 regulation do visit Med Ele 8th Sem syllabus for 2017 Regulation.
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