Biomedical Signal Processing Telecom 7th Sem Syllabus for VTU BE 2017 Scheme (Professional Elective-3)

Biomedical Signal Processing detail syllabus for Telecommunication Engineering (Telecom), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17EC742), and for exam duration, Teaching Hr/week, Practical Hr/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.

For all other telecom 7th sem syllabus for be 2017 scheme vtu you can visit Telecom 7th Sem syllabus for BE 2017 Scheme VTU Subjects. For all other Professional Elective-3 subjects do refer to Professional Elective-3. The detail syllabus for biomedical signal processing is as follows.

Course Objectives:

The objectives of this course are to:

• Describe the origin, properties and suitable models of important biological signals such as ECG and EEG.
• Introduce students to basic signal processing techniques in analysing biological signals.
• Develop the students mathematical and computational skills relevant to the field of biomedical signal processing.
• Develop a thorough understanding on basics of ECG signal compression algorithms.
• Increase the students awareness of the complexity of various biological phenomena and cultivate an understanding of the promises, challenges of the biomedical engineering.

Module 1
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Module 2

Signal Averaging: Basics of signal averaging, signal averaging as a digital filter, a typical averager, software for signal averaging, limitations of signal averaging. Adaptive Noise Cancelling: Principal noise canceller model, 60-Hz adaptive cancelling using a sine wave model, other applications of adaptive filtering (Text-1)

Module 3

Data Compression Techniques: Turning point algorithm, AZTEC algorithm, Fan algorithm, Huffman coding, data reduction algorithms The Fourier transform, Correlation, Convolution, Power spectrum estimation, Frequency domain analysis of the ECG (Text-1)

Module 4

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Module 5

Neurological signal processing: The brain and its potentials, The electrophysiological origin of brain waves, The EEG signal and its characteristics (EEG rhythms, waves, and transients), Correlation.
Analysis of EEG channels: Detection of EEG rhythms, Template matching for EEG, spike and wave detection (Text-2).

Course Outcomes:

At the end of the course, students will be able to:

• Possess the basic mathematical, scientific and computational skills necessary to analyse ECG and EEG signals.
• Apply classical and modern filtering and compression techniques for ECG and EEG signals
• Develop a thorough understanding on basics of ECG and EEG feature extraction.

Text Books:

1. Biomedical Digital Signal Processing- Willis J. Tompkins, PHI 2001.
2. Biomedical Signal Processing Principles and Techniques- D C Reddy, McGraw-Hill publications 2005

Reference Books:

Biomedical Signal Analysis-Rangaraj M. Rangayyan, John Wiley & Sons 2002

For detail syllabus of all other subjects of BE Telecom, 2017 regulation do visit Telecom 7th Sem syllabus for 2017 Regulation.

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