Biomedical Signal Analysis
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Biomedical Signal Analysis Syllabus — Unit-wise Content
The official GTU curriculum for Biomedical Signal Analysis (subject code 3160313) as prescribed for Biomed · Semester 6 divides the course into 5 units, covering 43 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (3160313)Unit 1 IIR & FIR Filter Design Techniques Design of IIR Filter
- IIR filter design using Bi-linear Z-Transform
- IIR filter design using Bi-linear Z-Transform with pre warping
- IIR filter design using Impulse Invariance Method
- Realization of IIR Filters Design of FIR Filter: Design of Linear Phase FIR filters
- FIR filter design using windowing method (Rectangular
- Triangular or Bartlett
- Realization of FIR filters Basic Concepts of Moving Average Filters and its Implementation
- Comparison between FIR & IIR filters Filtering for removal of artifacts: Random noise
- structured noise, and physiological interference
- Stationary versus non-stationary processes
- Various Time-domain filters and Frequency-domain filters for removal of noise
Unit 2 Adaptive Signal Processing
- Least Square System Design - Introduction
- Design Example and Applications
- Mean Squared Error Performance
- Performance surface search
- Steepest Descent and LMS Algorithm and their Examples
- Direct Descent and Subject Code: 3160313 w.e.f
- AY 2020-21 RLS Algorithm and their examples
- Measurement of Adaptive System performance
- Other adaptive systems and their examples and structures
Unit 3 Introduction to Wavelets in Signal Analysis
- Introduction and Overview to Wavelets
- From ST to STFT
- 1-D Continuous Wavelet Transform
- 1-D Discrete Wavelet Transform (DWT)
- 1-D DWT on Discrete Signals
- Applications of DWT in Signal processing
Unit 4 Application of various algorithm for cardiovascular signal Analysis
- ECG Heart Sound
- Identification of Heart Sounds
- Cardiovascular Diseases and ECG changes
- Detection of Events & Waves - Derivative based method for QRS Detection
- Pan Tompkins Algorithm
- Detection of P wave in ECG, Processing and Extracting feature from ECG, ECG Rhythm Analysis
- Arrhythmias Detection
- Event Related Potentials analysis
- Morphological analysis of ECG, Envelope extraction and Analysis
Unit 5 Application of various algorithm for Brain signal Analysis
- EEG Rhythm
- Diseases of Central Nervous System and EEG, Processing and Feature Extraction of EEG, Detection of Dicrotic Notch
- Correlation analysis of EEG Rhythm
- Detection of EEG Rhythm
- Template matching for EEG Spike and wave detection
- Coherence analysis of EEG channels
- EEG for assessment of Anaesthesia
- Analysis of Event Related Potentials from EEG
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