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AKTU Bio-Medical Signal Processing (BEC056) Syllabus PDF – B.Tech 3rd Year

Bio-Medical Signal Processing BEC056

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  • Semester 5
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Official AKTU syllabus of Bio-Medical Signal Processing (BEC056) 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

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BEC056 · 3 credits · L-T-P 3-0-0

UnitTopicsLectures
IIntroduction 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
IIECG: 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
IIIData Reduction: Turning Point algorithm, AZTEC Algorithm, Fan Algorithm, Huffman and Modified Huffman Coding, Run Length Coding.8
IVEEG: 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
VEP 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

  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.

Course Outcomes

  1. To understand the basics of biomedical signals.
  2. Analyses of ECG signals.
  3. To Analyze the data reduction techniques.
  4. Analyses of EEG signals.
  5. To understand the advance techniques of signal processing

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