Bio Signal Processing detailed syllabus for Instrumentation & Control Engineering (ICE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the ICE students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Instrumentation & Control Engineering 6th Sem scheme and its subjects, do visit ICE 6th Sem 2021 regulation scheme. For Professional Elective-V scheme and its subjects refer to ICE Professional Elective-V syllabus scheme. The detailed syllabus of bio signal processing is as follows.
Course Objectives:
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Unit I
BIOSIGNAL AND SPECTRAL CHARACTERISTICS
Characteristics of some dynamic biomedical signals, Noises- random, structured and physiological noises. Filters- IIR and FIR filters. Spectrum – power spectral density function, cross-spectral density and coherence function, cepstrum and homomorphic filtering. Estimation of mean of finite time signals.
Unit II
TIME SERIES ANALYSIS AND SPECTRAL ESTIMATION
Time series analysis – linear prediction models, process order estimation, lattice representation, non-stationary process, fixed segmentation, adaptive segmentation, application in EEG, PCG signals, Time varying analysis of Heart-rate variability, model based ECG simulator. Spectral estimation -Blackman Tukey method, periodogram, and model based estimation. Application in Heart rate variability, PCG signals.
Unit III
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Unit IV
BIOSIGNAL CLASSIFICATION AND RECOGNITION
Signal classification and recognition – Statistical signal classification, linear discriminant function, direct feature selection and ordering, Back propagation neural network based classification.
Application in Normal versus Ectopic ECG beats.
Unit V
TIME FREQUENCY AND MULTIVARIATE ANALYSIS
Time frequency representation, spectrogram, Wigner distribution, Time-scale representation, scalogram, wavelet analysis – Data reduction techniques, ECG data compression, ECG characterization, Feature extraction- Wavelet packets, Multivariate component analysis-PCA,ICA.
Course Outcomes:
On successful completion of this course, the student will be able to
- Preprocess the Biosignals.
- Analyze biosignals in time domain & to estimate the spectrum.
- Apply wavelet detection techniques for biosignal processing.
- Classify Biosignals using neural networks and statistical classifiers.
- Extract the features using multivariate component analysis.
Text Books:
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Reference Books:
- Kayvan Najarian and Robert Splerstor, “Biomedical signals and Image processing’’, CRC -Taylor and Francis, New York, 2nd Edition, 2012.
- K.P.Soman, K.Ramachandran, “Insight into wavelet from theory to practice”, PHI, New Delhi, 3rd Edition, 2010.
- D.C.Reddy, “Biomedical Signal Processing – Principles and Techniques’’, Tata McGraw-Hill Publishing Co. Ltd, 2005.
- John L.Semmlow, “Biosignal and Biomedical Image Processing Matlab Based applications’’, Taylor& Francis Inc, 2004.
For detailed syllabus of all the other subjects of Instrumentation & Control Engineering 6th Sem, visit ICE 6th Sem subject syllabuses for 2021 regulation.
For all Instrumentation & Control Engineering results, visit Anna University ICE all semester results direct link.