6th Sem, MED ELE

Biosignal Processing Med Ele 6th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective II)

Biosignal Processing Med Ele 6th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective II) detail syllabus for Medical Electronics (Med Ele), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (BM8074), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.

For all other med ele 6th sem syllabus for be 2017 regulation anna univ you can visit Med Ele 6th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective II subjects do refer to Professional Elective II. The detail syllabus for biosignal processing is as follows.

Course Objective:

The student should be made to

  • Understand characteristics of some of the most commonly used biomedical signals, including ECG, EEG, EOG, and EMG.
  • Understand choice of filters to remove noise and artifacts from biomedical signals.
  • Apply established engineering methods to analyse ECG signal problems.
  • Apply established engineering methods to analyse neurological signals.
  • Analyse various biomedical signals through advanced techniques.

Unit I

For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.

Unit II

Filtering for Removal of Artifacts
Time-domain Filters – synchronized averaging, Moving Average Filters, Derivative-based operators to remove low-frequency artifacts. Frequency-domain filters – Removal of High Frequency noise, Removal of low frequency noise, Removal of periodic artifacts, optimal filter- Wiener filter, Adaptive filters for removal of interference.

Unit III

Cardiovascular Applications
Noise and Artifacts, ECG Signal Processing: Baseline Wandering, Power line interference, Muscle noise filtering – QRS detection, Adaptive noise canceling in ECG, improved adaptive filtering in FECG, Wavelet detection in ECG – structural features, matched filtering, adaptive wavelet detection, detection of overlapping wavelets. Computation of diagnostic signal parameters of ECG like Heart rate and QRS detection using Multivariate analysis (PCA and ICA). Segmentation of PCG, intensity patterns, Spectral modeling and analysis of PCG signals.

Unit IV

For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.

Unit V

Analysis On Waveshape, Signal Classification and Recognition
Modeling intramuscular EMG-Intramuscular signal decomposition-Fractal analysis of EMG signals. Statistical analysis of VAG signals. Analysis on amplitude and latency of MEG signals. Analysis of ERP effect. Signal classification and recognition – Statistical signal classification, linear discriminant function, direct feature selection and ordering, Back propagation neural network based classification. Analysis of EEG using Empirical mode decomposition (EMD).

Course Outcome:

At the end of the course student should be able to

  • Draw different types of biomedical signals and identify their spectral components.
  • Use different filters on biomedical signals and judge filter performance.
  • Identify physiological interferences and artifacts affecting ECG signal.
  • Compute power and correlation spectra of EEG signal.
  • Propose an algorithm to classify biomedical signals.

Text Books:

  1. Rangayyan, Biomedical Signal Analysis, Wiley 2002.
  2. Semmlow, Biosignal and Biomedical Image Processing, Marcel Dekker, 2004

References:

  1. Arnon Cohen, Bio-Medical Signal Processing Vol I and Vol II, CRC Press Inc., Boca Rato, Florida 1999.
  2. D.C.Reddy, Biomedical Signal Processing: Principles and techniques , Tata McGraw Hill, New Delhi, 2005
  3. Willis J Tompkins, Biomedical Digital Signal Processing, Prentice Hall, 1993
  4. Bruce, Biomedical Signal Processing and Signal Modeling, Wiley, 2001
  5. Sornmo, Bioelectrical Signal Processing in Cardiac and Neurological Applications, Elsevier 2005.

For detail syllabus of all other subjects of BE Med Ele, 2017 regulation do visit Med Ele 6th Sem syllabus for 2017 Regulation.

Dont forget to download iStudy for latest syllabus and results, class timetable and more.

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