TABLE OF CONTENT
- Introduction to Biomedical Signals:
- Tasks in Biomedical Signal Processing, Computer-Aided Diagnosis,
- Examples of Biomedical signals: ECG, EEG, EMG, etc.,
- Review of linear systems,
- Fourier Transform and Time-Frequency Analysis (Wavelet) of biomedical signals,
- Processing of
- Random & Stochastic signals, spectral estimation.
- Cardio-logical Signal Processing:
- QRS Detection Methods,
- Rhythm analysis,
- Arrhythmia Detection Algorithms,
- Automated ECG Analysis,
- ECG Pattern Recognition,
- Heart rate variability analysis.
- Adaptive Noise Canceling:
- Principles of Adaptive Noise Canceling,
- Adaptive Noise Canceling
- with the LMS adaptation,
- Noise Canceling Method to Enhance ECG Monitoring,
- Fetal ECG Monitoring.
- Neurological Signal Processing:
- Modeling of EEG Signals,
- Detection of spikes and spindles,
- Detection of Alpha, Beta and Gamma Waves,
- Auto-Regressive (A.R.) modeling of seizure EEG,
- Sleep Stage analysis,
- Inverse Filtering.
- Properties and effects of noise in biomedical instruments;
- Filtering in biomedical instruments;
- Least squares and polynomial modeling;
1. Biomedical Signal Processing: Principles and techniques, D.C.Reddy, Tata McGraw Hill, New Delhi, 2005.
2. Biomedical Signal Processing, Willis J Tompkins, Prentice Hall, 1993
3. Biomedical Signal Analysis, R. Rangayan, Wiley, 2002.
4. Biomedical Signal Processing & Signal Modeling, Eugene N. Bruce, Wiley, 2001.
5. Biomedical Signal and Image Processing, K. Najarian and R. Splinter, The CRC Press, Second Edition.
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