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AKTU Bio-Medical Signal Processing (BIC062) Syllabus PDF – B.Tech 3rd Year
Bio-Medical Signal Processing BIC062
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- Semester 6
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Official AKTU syllabus of Bio-Medical Signal Processing (BIC062) for B.Tech 3rd Year – 3 credits, L-T-P 3-0-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.
Syllabus — Bio-Medical Signal Processing
Download PDFBIC062 · 3 credits · L-T-P 3-0-0
| Unit | Topics | Lectures |
|---|---|---|
| I | Introduction to Bio-Medical Signals: 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. | 8 |
| II | ECG: 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. | 8 |
| III | Data Reduction: Turning Point algorithm, AZTEC Algorithm, Fan Algorithm, Huffman and Modified Huffman Coding, Run Length Coding. | 8 |
| IV | EEG: 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. | 8 |
| V | EP Estimation: 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. | 8 |
Text Books
- Willis J. Tomkin, “Biomedical Digital Signal Processing”, PHI.
- D. C. Reddy, “Biomedical Signal Processing”, McGraw Hill
- Crommwell, Weibel and Pfeifer, “Biomedical Instrumentation and Measurement”, PHI
Reference Books
- Arnon Cohen, “Biomedical Signal Processing (volume-I)”, Licrc Press.
- Rangaraj M. Rangayyan, “Biomedical Signal Analysis A Case Study Approach”, John Wiley and Sons Inc.
- John G. Webster, “Medical instrumentation Application and Design”, John Wiley & Sons Inc.
Course Outcomes
- To understand the basics of biomedical signals.
- Analyses of ECG signals.
- To Analyze the data reduction techniques.
- Analyses of EEG signals.
- To understand the advance techniques of signal processing
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