MD3312 BIO-SIGNAL PROCESSING SYLLABUS | ANNA UNIVERSITY BE MEDICAL ELECTRONICS ENGINEERING 6TH SEMESTER SYLLABUS REGULATION 2008 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY SIXTH SEMESTER B.E MEDICAL ELECTRONICS ENGINEERING DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,PREVIOUS YEAR QUESTION PAPERS,MODEL QUESTION PAPERS, CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI, TIRUNELVELI,COIMBATORE), 2008 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009
MD3312 BIO-SIGNAL PROCESSING L T P C
3 1 0 4
UNIT I BIO SIGNAL WAVE SHAPES 10
Introduction to Biomedical signals - overview and characteristics of ECG, ,EMG, EEG,
EGG, PCG, Carotid pulse, EOG, VMG,VAG, and Otto acoustic emission signals
UNIT II TIME SERIES ANALYSIS AND SPECTRAL ESTIMATION 5
Time series analysis-linear prediction models-Time variant systems- Adaptive
segmentation-Spectral Estimation-Blackman Tuckey method-Periodogram and model
based estimation.
UNIT III REMOVAL OF ARTIFACTS 10
Noise sources in biomedical signals-Review of optimal filtering-adaptive filters-
LMS&RLS Adaptive filters-Removal of Artifacts in ECG-Maternal-Fetal ECG-Muscle
contraction interference-use of adaptive filters for segmentation in ECG and PCG
Signals.
UNIT IV BIO SIGNAL PATTERN CLASSIFICATION AND DIAGNOSTIC
DECISION 10
Pattern classification as applied to Bio signals-supervised pattern classificationunsupervised
pattern classification-Probabilistic models and statistical training and test
steps-Neural networks-measures of diagnostic accuracy and cost-Reliability of
classifiers and decisions.
UNIT V SPECIAL TOPICS IN BIO SIGNAL PROCESSING 10
Application of wavelet transform-TFR representation-ECG Characterization- wavelet
networks-data compression of ECG and EEG signals
TUTORIAL: 15 TOTAL: 60 PERIODS
REFERENCES:
1. Rangaraj.M.Rangayyan, “Biomedical Signal Analysis-A Case Study Approach,”IEEE
Press- John Wiley&Sons Inc, New York-2002.
2. Arnon-Cohen, “Bio-Medical Signal Processing,” Vol I&II, CRC Press.1995.
3. W.J.Tompkins, “Biomedical Digital signal processing,” Prentice Hall, New Jersey-
1993.
4. Vallaru Rao and Hayagriva Rao, “C++, Neural Networks and fuzzy logic, BPS
Publication, New Delhi, 1996.
5. D.C.Reddy, “Biomedical Signal Processing- principles and techniques”, Tata
McGraw-Hill, Edition- 2005
MD3312 BIO-SIGNAL PROCESSING L T P C
3 1 0 4
UNIT I BIO SIGNAL WAVE SHAPES 10
Introduction to Biomedical signals - overview and characteristics of ECG, ,EMG, EEG,
EGG, PCG, Carotid pulse, EOG, VMG,VAG, and Otto acoustic emission signals
UNIT II TIME SERIES ANALYSIS AND SPECTRAL ESTIMATION 5
Time series analysis-linear prediction models-Time variant systems- Adaptive
segmentation-Spectral Estimation-Blackman Tuckey method-Periodogram and model
based estimation.
UNIT III REMOVAL OF ARTIFACTS 10
Noise sources in biomedical signals-Review of optimal filtering-adaptive filters-
LMS&RLS Adaptive filters-Removal of Artifacts in ECG-Maternal-Fetal ECG-Muscle
contraction interference-use of adaptive filters for segmentation in ECG and PCG
Signals.
UNIT IV BIO SIGNAL PATTERN CLASSIFICATION AND DIAGNOSTIC
DECISION 10
Pattern classification as applied to Bio signals-supervised pattern classificationunsupervised
pattern classification-Probabilistic models and statistical training and test
steps-Neural networks-measures of diagnostic accuracy and cost-Reliability of
classifiers and decisions.
UNIT V SPECIAL TOPICS IN BIO SIGNAL PROCESSING 10
Application of wavelet transform-TFR representation-ECG Characterization- wavelet
networks-data compression of ECG and EEG signals
TUTORIAL: 15 TOTAL: 60 PERIODS
REFERENCES:
1. Rangaraj.M.Rangayyan, “Biomedical Signal Analysis-A Case Study Approach,”IEEE
Press- John Wiley&Sons Inc, New York-2002.
2. Arnon-Cohen, “Bio-Medical Signal Processing,” Vol I&II, CRC Press.1995.
3. W.J.Tompkins, “Biomedical Digital signal processing,” Prentice Hall, New Jersey-
1993.
4. Vallaru Rao and Hayagriva Rao, “C++, Neural Networks and fuzzy logic, BPS
Publication, New Delhi, 1996.
5. D.C.Reddy, “Biomedical Signal Processing- principles and techniques”, Tata
McGraw-Hill, Edition- 2005
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