Page 39 - M.E. Medical Electronics Curriculum and Syllabus - R2019

Department of BME, REC

PROFESSIONAL ELECTIVE IV

MX19P31 BRAIN COMPUTER INTERFACE L T P C

2 0 0 2
OBJECTIVES:
• To introduce the basic concepts of brain computer interface
• To study the various signal acquisition methods
• To study the signal processing methods used in BCI

UNIT I INTRODUCTION TO BCI 10
Fundamentals of BCI – 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 Neuro mechanisms.

UNIT II BCI TYPES AND SIGNAL PROCESSING 10
Structure of BCI system – Classification of BCI: Invasive, Non-invasive and Partially invasive
BCI- Brain signal acquisition, Signal Pre-processing, Artifacts removal.

UNIT III DATA ANALYSIS AND BCI APPLICATIONS 10
Classification techniques –Binary classification, Ensemble classification, Multiclass
Classification, Regression - Linear, Polynomial, Multilayer neural networks, Support vector
machine. Applications of BCI- Functional restoration using Neuroprosthesis- Functional
Electrical Stimulation, Visual Feedback and control - External device controllers. Ethical
issues in BCI research.

TOTAL: 30 PERIODS
OUTCOMES:
• Capable of acquiring the brain signal in the format required for the specific
application
• Well prepared for preprocessing the signal for signal enhancement
• Ability to extract the dominant and required features and classify the signal for
applications

REFERENCES:
1. Jonathan Wolpaw, Elizabeth Winter Wolpaw, Brain Computer Interfaces: Principles
and
2. Practice, Edition 1, Oxford University Press, USA, 2012.
3. Special Issue on Brain Control Interfaces, IEEE Transactions on Neural Systems and
Rehabilitation Engineering, Vol 14, June 2006.
4. Rajesh PN Rao, Brain computer Interface – An introduction, Cambridge University
Press, First Edition 2013.

MX19P32 INTERNET OF MEDICAL THINGS L T P C

2 0 0 2
OBJECTIVES
• To learn how the general Internet as well as Internet of Things works.
• To understand the computing tools used for Internet of Things.
• To know the applications of IoT in healthcare.

R 2019 - Curriculum and Syllabus/ M.E Medical Electronics Page 39