Biomedical Signal Processing detailed syllabus scheme for Electronics Engineering (EL), 2017 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.
For 8th Sem Scheme of Electronics Engineering (EL), 2017 Onwards, do visit EL 8th Sem Scheme, 2017 Onwards. For the Elective-XIII scheme of 8th Sem 2017 onwards, refer to EL 8th Sem Elective-XIII Scheme 2017 Onwards. The detail syllabus for biomedical signal processing is as follows.
Biomedical Signal Processing Syllabus for Electronics Engineering (EL) 4th Year 8th Sem 2017 DBATU
Course Objectives:
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Course Outcomes:
- The student will be able to model a biomedical system.
- The student will be able to understand various methods of acquiring bio signals.
- The student will be able to understand various sources of bio signal distortions and its remedial techniques.
- The students will be able to analyze ECG and EEG signal with characteristic feature points.
- The student will have a basic understanding of diagnosing bio-signals and classifying them.
Unit 1
Biomedical Signals
Bioelectric Signals and Electrodes: Bio-potentials and their origin: ECG, EEG, EMG, ENG, ERG, EOG, MEG. Biomedical Instrumentation System, biomedical transducers, electrodes and their characteristics. Origin of bio potentials. Sources and contamination of Noise in bio signals. Motion artifacts and skin Impedance. Classification of biomedical signals.
Unit 2
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Unit 3
Analysis of Electrical Activity of Heart
ECG signal parameters and their estimation – Use of multiscale analysis for ECG parameters estimation, Noise and Artifacts, ECG Signal Processing: Baseline Wandering, Power line interference, Muscle noise filtering – QRS detection, Highlight the Feature points of ECG and its classification for Normal and Abnormal state using Multilayer Perceptron.
Unit 4
Analysis of Electrical Activity of Brain
Electroencephalogram – Structure of brain, EEG signal acquisition,10-20 electrode placement, EEG rhythms and waveform – categorization of EEG activity – recording techniques – EEG applications- Epilepsy, sleep disorders, brain computer interface. Use of Fourier Transform in EEG Signal Analysis.
Unit 5
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Unit 6
Digital Signal Processing
Characteristics, frequency domain representation; Stationary and non-stationary bio-signals, waveform detection, Sampling Theory, Finite data considerations (Edge effects), Z Transform, FIR and IIR filters specific to event detection of ECG. Computation of diagnostic signal parameters of ECG like Heart rate and QRS detection using Multivariate analysis like PCA and ICA.
Reference/Text Book:
- Joseph J. Carr and John M. Brown, Introduction to Biomedical Equipment Technology, 4th Edition, Prentice Hall, 2000.
- R. Rangayan, Biomedical Signal Analysis, Wiley 2002.
- John L Semmlow, Bio-signal and Biomedical Image Processing, Marcel Dekker.
- R. S. Khandpur, Handbook of Biomedical Instrumentation, Tata McGraw Hill, New Delhi, 2003, Edition-II.
- Joseph J. Carr and John M. Brown, Introduction to Biomedical Equipment Technology, 4th Edition, Prentice Hall, 2000.
- Bruce, Biomedical Signal Processing and Signal Modeling, Wiley, 2001.
- Sornmo, Bioelectrical Signal Processing in Cardiac and Neurological Applications, Elsevier.
- C. Reddy Biomedical Signal Processing: Principles and techniques, Tata McGraw Hill, New Delhi, 2005.
- Willis J Tompkins, Biomedical Signal Processing, ED, Prentice – Hall, 1993.
For detail syllabus of all subjects of Electronics Engineering (EL) 8th Sem 2017 onwards, visit EL 8th Sem Subjects of 2017 Onwards.