Biomedical Signal and Image Processing

No.SubjectLTPCCat.
ED 5313Biomedical Signal and Image Processing

Course Contents:

Introduction to Biomedical Signals – ECG, EEG & EMG signals.
Continuous time signal Analysis – Fourier Transform – Introduction and properties.
Sampling – Sampling theorem, A/D conversion
Discrete time Fourier Transform – Introduction and properties, Z-transform
Filter design – Introduction, Butterworth, Chebyshev Filters
Applications of the concepts to ECG signals
Fundamentals of Image acquisition in biomedical image processing, Image enhancement in spatial and frequency domain.
Image segmentation – Thresholding, region-based and boundary-based methods, Biomedical examples
Image registration: Linear spatial transformations and non-linear transformation

Text Books:

1. Rangaraj M Rangayyan, Biomedical Signal Analysis, Wiley India, 2005
2. G.Dougherty, Digital Image Processing for medical applications, Cambridge
University Press, 2009

References:

1. B.P.Lathi, Principles of Signal Processing and Linear Systems, Oxford, 2009
2. Mark A Haidekher, Advanced Biomedical Image Analysis, John Wiley & Sons, 2011.

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