BML734
| BML734 | |
|---|---|
| physiological Signal processing | |
| Credits | 3 |
| Structure | 3-0-0 |
| Pre-requisites | |
| Overlaps | |
BML734 : physiological Signal processing
[edit]Overview of bio-signals: Physiological origins of bio-signals: bio-electric signal, bio-magnetic signals, bio-chemical signals, bio- mechanical signals, bio-acoustic signals, bio-optical signals. physiological signal acquisition: biosensors, transducers, amplifier, Analog & digital filters, data storage and display. Time & frequency domain representation of bio signals: Periodic, aperiodic and impulse signals; Sampling theorem ; Laplace and Fourier transforms; Modelling biomedical systems: linear system properties -time- domain and frequency-domain representation of linear system; impulse response of systems; transfer function, frequency response of first and second order linear time invariant systems, convolution, correlation Discrete time systems - impulse response, frequency response, discrete Fourier transform, Z transform; basics of IIR and FIR filter. Parametric system modelling; case studies in physiological signal processing- cardiac rhythm, formants and pitch in speech- patellofemoral crepitus, application to EMG signals; BML 735 Biomedical Signal and Image processing 3 Credits (2-0-2) Introduction to Biomedical Signal and Image data obtained using various techniques (ECG, FTIR, NMR spectroscopy, MRI, CT, nuclear imaging, ultrasound and optical imaging). Noise and error propagation in Biomedical Signal and Image data. Basic statistics for biomedical signal and image data analysis. Biomedical signal processing in time domain. Fourier and Laplace transform. Biomedical signal processing in frequency domain. Biomedical image processing, including segmentation, registration and pattern recognition. Mathematical models used in biomedical signal and image data analysis.