BEC056

Bio-Medical Signal Processing

L-T-P3-0-0 Credits3 Session2024-25 TypeTheory
Appears in 2 semesters · 2 branches

B.Tech Electronics & Communication Engineering · Sem 5 (Department Elective-II) · B.Tech Electronics Engineering (VLSI Design & Technology) · Sem 5 (Department Elective-II)

Syllabus

5 units · 40 lecture hours
Unit1

Unit 1: Introduction to Bio-Medical Signals

8 hrs

Classification, Acquisition and Difficulties during Acquisition. Basics of Electrocardiography, Electroencephalography, Electromyography & electro-retinography Role of Computers in the Analysis, Processing, Monitoring & Control, and image reconstruction in bio-medical field.

Unit2

Unit 2: ECG

8 hrs

Measurement of Amplitude and Time Intervals, QRS Detection (Different Methods), ST Segment Analysis, Removal of Baseline Wander and Power line Interferences, Arrhythmia Analysis, Portable Arrhythmia Monitors.

Unit3

Unit 3: Data Reduction

8 hrs

Turning Point algorithm, AZTEC Algorithm, Fan Algorithm, Huffman and Modified Huffman Coding, Run Length Coding.

Unit4

Unit 4: EEG

8 hrs

Neurological Signal Processing, EEG characteristic, linear prediction theory, Sleep EEG, Dynamics of Sleep/Wake transition. Study of pattern of brain waves, Epilepsy- Transition, detection and Estimation. EEG Analysis By Spectral Estimation: The Bt Method, Periodogram, Maximum Entropy Method & AR Method, Moving Average Method. The ARMA Methods, Maximum Likelihood Method.

Unit5

Unit 5: EP Estimation

8 hrs

by Signal Averaging, Adaptive Filtering: - General Structures of Adaptive filters, LMS Adaptive Filter, Adaptive Noise Cancelling, Wavelet Detection: - Introduction, Detection by Structural features, Matched Filtering, Adaptive Wavelet Detection, Detection of Overlapping Wavelets.

Course Outcomes (COs)5 outcomes

After completion of the course student will be able to:

  1. CO1To understand the basics of biomedical signals.
  2. CO2Analyses of ECG signals.
  3. CO3To Analyze the data reduction techniques.
  4. CO4Analyses of EEG signals.
  5. CO5To understand the advance techniques of signal processing

Text Books

  1. Willis J. Tomkin, “Biomedical Digital Signal Processing”, PHI.
  2. D. C. Reddy, “Biomedical Signal Processing”, McGraw Hill
  3. Crommwell, Weibel and Pfeifer, “Biomedical Instrumentation and Measurement”, PHI

Reference Books

  1. Arnon Cohen, “Biomedical Signal Processing (volume-I)”, Licrc Press.
  2. Rangaraj M. Rangayyan, “Biomedical Signal Analysis A Case Study Approach”, John Wiley and Sons Inc.
  3. John G. Webster, “Medical instrumentation Application and Design”, John Wiley & Sons Inc.

Official AKTU syllabus

This subject is on page 13 of the original AKTU PDF.

Official AKTU syllabus PDF ↗