EC887 Biomedical Data Science
Course Name:
EC887 Biomedical Data Science
Programme:
M.Tech(SPML)
Category:
Elective (Ele)
Credits (L-T-P):
(3-0-2) 4
Content:
Physiological signals and responses, Bioelectrical signals, Evoked potentials, Electromyogram, respiration and heart rate variability, mathematical modelling and techniques for image and bio-signal analysis and diagnostic decisionmaking, detection, classification techniques, Medical and microscopy image analysis, Heterogeneous data integration and Electronic Medical Records (EHR), Explainable Artificial Intelligence (AI) applications in the biomedical field, Medical data sets and annotating, cleaning, organizing, storing, and analysing, knowledge discovery, Genomics Data Analysis.
References:
Jaakko Malmivuo, Bioelectromagnetism - Principles and Applications of Bioelectric and Biomagnetic Fields, Oxford
University Press, 1995.
John L. Semmlow, Benjamin Griffel, Biosignal and Medical Image Processing, 3rd Ed, CRC Press, 2014.
Rangayyan R M, S Krishnan, Biomedical Signal Analysis 3rd Edition, Wiley 2023.
Michael Insana, Biomedical Measurement Systems and Data Science, Cambridge University Press, 2021.
Tore Samuelsson, Genomics and Bioinformatics: An Introduction to Programming Tools for Life Scientists, Cambridge
University Press, 2012.
Department:
Electronics and Communication Engineering(ECE)