Biomedical Signal Processing detail syllabus for Mechatronics (Mechatronics), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17MT751), and for exam duration, Teaching Hr/week, Practical Hr/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.
For all other mechatronics 7th sem syllabus for be 2017 scheme vtu you can visit Mechatronics 7th Sem syllabus for BE 2017 Scheme VTU Subjects. For all other Professional Elective-IV subjects do refer to Professional Elective-IV. The detail syllabus for biomedical signal processing is as follows.
Course Objectives:
Students will be able to
- Gain Knowledge of Biomedical Signals, ECG, Signal Conversion & Averaging ,Adaptive Noise Cancellation, Data Compression Techniques, Cardiological signal processing, Neurological signal processing.
- Understand the operation of Biomedical Signal Processing ,ECG Signal Conversion & Averaging ,Adaptive Noise Cancellation, Data Compression Techniques, Cardiological signal & Neurological signal processing
Module 1
For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.
Module 2
Signal Averaging: Basics of signal averaging, signal averaging as a digital filter, a typical averager, software for signal averaging, limitations of signal averaging. Adaptive Noise Cancelling:Principal noise canceller model, 60-Hz adaptive cancelling using a sine wave model, other applications of adaptive filtering. (Text-1.
Module 3
Data Compression Techniques: Turning point algorithm, AZTEC algorithm, Fan algorithm, Huffman coding, data reduction algorithms The Fourier transform, Correlation, Convolution, Power spectrum estimation, Frequency domain analysis of the ECG (Text-1.
Module 4
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Module 5
Neurological signal processing: The brain and its potentials, The electrophysiological origin of brain waves, The EEG signal and its characteristics (EEG rhythms, waves, and transients), Correlation. Analysis of EEG channels: Detection of EEG rhythms, Template matching for EEG, spike and wave detection (Text-2).
Course Outcomes:
On completion of course students will
- Have Knowledge of Biomedical Signals, ECG, Signal Conversion & Averaging ,Adaptive Noise Cancellation, Data Compression Techniques, Cardiological signal processing, Neurological signal processing.
- Understand the operation of Biomedical Signal Processing ,ECG Signal Conversion & Averaging ,Adaptive Noise Cancellation, Data Compression Techniques, Cardiological signal & Neurological signal processing.
Text Books:
- Biomedical Digital Signal Processing- Willis J. Tompkins, PHI 2001.
- Biomedical Signal Processing Principles and Techniques- D C Reddy, McGrawHill publications 2005
Reference Books:
- Biomedical Signal Analysis-Rangaraj M. Rangayyan, John Wiley & Sons 2002
For detail syllabus of all other subjects of BE Mechatronics, 2017 regulation do visit Mechatronics 7th Sem syllabus for 2017 Regulation.
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