18EI742: Biomedical Signal Processing EIE Syllabus for BE 7th Sem 2018 Scheme VTU (Professional Elective-3)

Biomedical Signal Processing detailed Syllabus for Electronics & Instrumentation Engineering (EIE), 2018 scheme has been taken from the VTUs official website and presented for the VTU students. For Course Code, Subject Names, Teaching Department, Paper Setting Board, Theory Lectures, Tutorial, Practical/Drawing, Duration in Hours, CIE Marks, Total Marks, Credits and other information, visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the official website of the university.

For all the other VTU EIE 7th Sem Syllabus for BE 2018 Scheme, visit Electronics & Instrumentation Engineering 7th Sem 2018 Scheme.

For all the (Professional Elective-3) subjects refer to Professional Elective-3 Scheme. The detail syllabus for biomedical signal processing is as follows.

Module -1

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Module -2

Filtering for Artifacts Removal: Random noise, structured noise and physiological interference, stationary versus non-stationary processes, typical case study, time domain filters with application: Synchronized averaging, moving-average filters. Frequency domain filters with examples, removal of high frequency noise by Butterworth low pass filters, removal of low frequency noise by Butterworth high pass filter, removal of periodic artifacts by notch and comb filters. Weiner filter Text-1: 3.1, 3.1.1, 3.1.2, 3.3, 3.3.1, 3.3.2, 3.3.3, 3.4, 3.4.1, 3.4.2, 3.4.3, 3.5.

Module-3

Basics of signal averaging, Signal averaging as a digital filter, A typical average, Software for signal averaging, Limitations of signal averaging. Text-3: 9.1 to 9.5 Data Acquisition and classification of sleep stages, The Markov model and Markov chains, Dynamics of Sleep-wave Transitions, Hypnogram Model Parameters. Text-2: 5.1 to 5.4

Module -4

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Module -5

Direct data compression techniques, Direct ECG data compression techniques, Transformation compression techniques, Other data compression techniques, Data compression techniques comparison. Text-2: 8.1 to 8.5

Course Outcomes:

After studying this course, students will be able to:

1. Discuss the origin, nature and characteristics of biomedical signals.
2. Identify the noise and artifacts in biomedical signals and apply suitable filters remove.
3. Apply the signal averaging technique.
4. Evaluate various event detection techniques for the analysis of the EEG and ECG.
5. Apply different data compression techniques on biomedical Signals.
6. Develop algorithms to process and analyze biomedical signals for better diagnosis.

Question Paper Pattern:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Text Books:

1. Biomedical signal analysis- A case study approach, Rangayyan Rangaraj, Wiley Inderscience (IEEE Press)-2005
2. Biomedical Signal Processing- principles and techniques, Tata McGraw-Hill, D.C.Reddy, 2005
3. Biomedical Digital Signal Processing-Willis J.Tompkins, PHI,

Reference Books:

1. Biomedical Signal Processing -Akay M, , Academic: Press 1994.
2. Biomedical Signal Processing -Cohen.A, -Vol. I Time & Frequency Analysis, CRC Press, 1986.

For the detail Syllabus of all other subjects of BE (EIE) 7th Sem, visit Electronics & Instrumentation Engineering 7th Sem Subjects.

For all (CBSE & Non-CBSC) BE/B.Tech results, visit VTU BE/B.Tech all semester results.