18ML71: Biomedical Digital Signal Processing Med Elec Syllabus for BE 7th Sem 2018 Scheme VTU

Biomedical Digital Signal Processing detailed Syllabus for Medical Electronics (Med Elec), 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 do visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the official website of the university.

For all other VTU Med Elec 7th Sem Syllabus for BE 2018 Scheme, do visit VTU Med Elec 7th Sem Syllabus for BE 2018 Scheme Subjects. The detailed Syllabus for biomedical digital 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

Note: Assignments can be given on analysis other important biomedical signals like EMG, ERG, EOG, Evoked potentials.

Course Outcomes:

After studying this course, students will be able to:

1. Analyze the nature of Biomedical signals and related concepts
2. Apply filters to remove noise from biomedical signals.
3. Apply averaging technique on biomedical signals and extract the features of EEG signals.
4. Analyze event detection techniques for EEG and ECG signals.
5. Apply signal compression techniques on biomedical signals.
6. Write simple algorithms for biomedical signal processing

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, RangayyanRangaraj, Wiley (IEEE Press)-2005
2. Biomedical Signal Processing- Principles and Techniques – D.C.Reddy, Tata McGraw-Hill, 2005.
3. Biomedical Digital Signal Processing-Willis J.Tompkins, PHI, 2000.

Reference Books:

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

For detail Syllabus of all other subjects of BE 7th Sem Medical Electronics, visit (Med Elec) 7th Sem Syllabus Subjects.

For all (CBSE & Non-CBSC) BE results, visit VTU BE all semester results direct links.