JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

UNIT - I

Random Processes: Stationary random process, Ergodicity, Power spectral density and autocorrelation function of random processes. Noise power spectral density analysis, Noise bandwidth and noise figure of systems.

UNIT - II

Data Compression Techniques: Lossy and Lossless data reduction Algorithms. ECG data compression using Turning point, AZTEC, CORTES, Huffman coding, vector quantization, DICOM Standards

UNIT - III

Cardio logical Signal Processing: Pre-processing, QRS Detection Methods, Rhythm analysis, Arrhythmia Detection Algorithms, Automated ECG Analysis, ECG Pattern Recognition. Adaptive Noise Cancelling: Principles of Adaptive Noise Cancelling, Adaptive Noise Cancelling with the LMS Adaptation Algorithm, Noise Cancelling Method to Enhance ECG Monitoring, Fetal ECG Monitoring.

UNIT - IV

Signal Averaging, Polishing – Mean and trend removal, Prony’s method, Prony's Method based on the Least Squares Estimate, Linear prediction, Yule – Walker (Y –W) equations, Analysis of Evoked Potentials.

UNIT - V

Neurological Signal Processing: Modeling of EEG Signals, Detection of spikes and spindles Detection of Alpha, Beta and Gamma Waves. Auto Regressive (A.R.) modelling of seizure EEG. Sleep Stage analysis, Inverse Filtering, Least squares and polynomial modelling.

TEXT BOOKS:

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• 1. Peyton Z. Peebles, “Probability, Random Variables & Random Signal Principles”, 4 Edition, 2009, TMH.
• 2. D. C. Reddy, “Biomedical Signal Processing- Principles and Techniques”, 2005, TMH.

REFERENCE BOOKS:

• 1. Weitkunat R, “Digital Bio Dignal Processing”, 1991, Elsevier.
• 2. Akay M , “Biomedical Signal Processing”, IEEE Press.
• 3. Cohen.A, “Biomedical Signal Processing -Vol. I Time & Frequency Analysis”, 1986, CRC Press.
• 4. Willis J. Tompkins, “Biomedical Digital Signal Processing: C-Language Experiments and Laboratory Experiments”, PHI.