JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

UNIT - I

Fundamentals of Discrete-Time signals and systems: Concepts of system, signal. Sampling Process. Impulse Response. Z-Transform, Discrete Transfer function, Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT). Medical Applications

UNIT - II

The Electroencephalogram (EEG): Applications, Signal Processing, Modeling and Artifacts. Nonparametric and Model-based spectral analysis, EEG segmentation, Joint Time-Frequency Analysis. Evoked Potential Modalities, Noise Characteristics, Noise reduction by Ensemble Averaging and Linear Filtering, Single-Trail Analysis and adaptive Analysis Using Basis Functions

UNIT - III

Wavelets: Continuous Wavelet Transform. Discrete wavelet transform. Reconstruction. Recursive multi resolution decomposition. Types of wavelets-Haar wavelet, Daubechies wavelet, Biorthogonal wavelet. Coislet wavelet, Morlet wavelet, Mexican Hat wavelet, Symlet wavelet. Medical applications

UNIT - IV

Electromyogram (EMG): The electrical Activity of Muscles, Amplitude Estimation in the surface EMG, Spectral Analysis of the surface EMG, Conduction velocity Estimation, Modeling the EMG, EMG Signal Decomposition

UNIT - V

Electrocardiogram(ECG): Heart Rhythms, Heart beat Morphologies, Noise and Artifacts, Baseline Wander, Power line interference, Muscle Noise Filtering, QRS Detection, Wave Delineation, Data Compression, Heart Rate Variability, Acquisition and RR Interval conditioning, Spectral Analysis of Heart Rate Variability.

TEXT BOOKS:

• 1. Leif Sornmo and Pablo Laguna, ”Bioelectrical Signal Processing in Cardiac and Neurological Applications”, Academic Press, 2005
• 2. Willis J. Tompkins, “Biomedical Digital Signal Processing”, Prentice-Hall, 1993.

REFERENCE BOOKS:

• 1. Rangaraj M. Rangayyan, Akay Metin(Editor), ”Biomedical Signal Analysis: A Case Study Approach”, Wiley Interscience, 2001.
• 2. Roberto Cristi, “Modern Digital Signal Processing”, 2004, Cengage Learning.
• 3. James V. Stone, “Independent Component Analysis: A Tutorial Introduction”, MIT Press,2004 M. TECH. I Year II SEMESTER BIOMEDICAL SIGNAL PROCESSING AND INSTRUMENTATION