Course Details
Subject {L-T-P / C} : BM6371 : Biomedical Signal Processing Laboratory { 0-0-3 / 2}
Subject Nature : Practical
Coordinator : Prof. Kunal Pal
Syllabus
Basics of LabVIEW, data handling techniques, Signal Acquisition and Sampling theorem, Effect of undersampling, Convolution, Designing an FIR and IIR filters, FFT analysis of periodic and aperiodic signals, Designing of low pass filter, high pass filter, bandpass filter, band reject filter, Notch filter and comb filter, Processing of ECG, EMG and EOG signals. Adaptive signal processing, Data Compression Techniques: AZTEC, TP, CORTES and KL TRANSFORM.
Course Objectives
- The students will gain hands-on training on various softwares
- The students will familiarize themselves with the basics of digital signal processing
- The students will familiarize themselves with the biosignal acquisition and processing techniques.
- The student will learn the designing of digital filters design
Course Outcomes
At the end of the course, the students will be able to: <br />1. acquire biosignals using different clinical equipment <br />2. understand the basic principles of signal processing <br />3. apply digital filters for noise removal <br />4. process different types of biosignals to extract features <br />5. design machine learning models for signal classification
Essential Reading
- N. Kehtarnavaz, Digital Signal Processing System Design: LabVIEW - Based Hybird Programming, Elsevier , Second Edition, 2009
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Supplementary Reading
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