Biomedical Digital Signal Processing detail syllabus for Biomedical Engineering (Bme), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17BM71), 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 bme 7th sem syllabus for be 2017 scheme vtu you can visit BME 7th Sem syllabus for BE 2017 Scheme VTU Subjects. The detail syllabus for biomedical digital signal processing is as follows.
Module 1
The nature of biomedical signals, objectives of biomedical signal analysis, difficulties encountered in biomedical signal analysis, Computer aided diagnosis. Text-1: 1.1, 1.3, 1.4, 1.5 Neurological Signal processing: Brain and its potentials, Electrophysiological origin of Brain waves, EEG signal and its characteristics, EEG analysis, Linear prediction theory, Autoregressive (AR) method, Recursive Estimation of AR parameters, Spectral error measure, Adaptive segmentation. (Text-2: 4.1 to 4.9).
Module 2
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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
ECG Parameters and their estimation, A review of wiener filtering problem, Principle of an adaptive filter, the steepest descent algorithm, Adoptive noise canceller, Cancellation 60Hz Interference in ECG, Cancelling Donor heart Interference in Heart-transplant ECG, Cancellation of Electrocardiographic signals from the electrical activity of chest muscles, Cancelling of maternal ECG in Fetal ECG, Cancellation of higher frequency noise in electro-surgery. (Text-2: 7.4, 6.1, 6.2, 6.3, 6.5, 6.6).
Module 5
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Course Outcomes:
After studying this course, students will be able to:
- Analyze the nature of Biomedical signals and related concepts
- Apply filters to remove noise from biomedical signals.
- Apply averaging technique on biomedical signals and extract the features of EEG signals.
- Analyze event detection techniques for EEG and ECG signals.
- Apply signal compression techniques on biomedical signals.
- Write simple algorithms for biomedical signal processing
Question paper pattern:
The question paper will have TEN questions.
- Each full question carry16 marks
- There will be TWO full questions (with maximum of THREE sub questions) from each module.
- Each full question will have sub questions covering all the topics under a module.
- The students will have to answer FIVE full questions, selecting ONE full question from each module.
Text Books:
- Biomedical signal analysis- A case study approach, Rangayyan Rangaraj, Wiley (IEEE Press)-2005
- Biomedical Signal Processing- Principles and Techniques – D.C.Reddy, Tata McGraw-Hill, 2005.
- Biomedical Digital Signal Processing-Willis J.Tompkins, PHI, 2000.
Reference Books:
- Biomedical Signal Processing -Akay M, , Academic: Press 1994
- Biomedical Signal Processing (Vol. I Time & Frequency Analysis) – Cohen.A,, CRC Press, 1986.
For detail syllabus of all other subjects of BE Bme, 2017 scheme do visit Bme 7th Sem syllabus for 2017 scheme.
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