Syllabus

Introduction to Biomedical Signals: Sources of bioelectric potential, resting potential, action
potential, Action Potential and Its Generation, Origin and characteristics of Basic Biomedical
Signals Like: Electrocardiogram (ECG), Electroencephalogram (EEG), Electromyogram (EMG),
etc.

Removal of noise and artifacts: Random, Structured and Physiological Noise, Stationary and
Nonstationary Processes, Removal of artifacts Present in ECG and EEG, Time and Frequency
Domain Filtering, Adaptive Filtering

Event Detection in Biomedical Signals: ECG and EEG Rhythms, Detection of Waves and Transients, Correlation Analysis and Coherence Analysis of EEG Signals

Waveform Analysis: Morphological Analysis of ECG, Signal length, Envelop Extraction, Amplitude demodulation, The Envelogram, Analysis of activity, Root Mean Square value, Zero-crossing rate, Turns Count, Form factor.

Frequency-domain Characterization of Signals: PSD and measures derived from PSD, Spectral Analysis of EEG signals, Periodogram, Averaged Periodogram, Blackman-Tukey Spectral Estimator

Time-Frequency Analysis of Biomedical Signals: Characterization of Nonstationary Signals and
Dynamic Systems, Application of Fourier analysis in biomedical signal processing, Short-Time
Fourier Transform (STFT), Wavelet Transform and its application in analyzing non-stationary
signals, Spectrogram analysis

Modeling of Biomedical Systems: Parametric system modeling, Autoregressive model,
Autocorrelation method, Application to random signals, Computation of model parameters,
Spectral matching and parameterization, Model order selection, ARMA model

Medical imaging techniques: CT scan, ultrasound, NMR and PET

To enable students to analyse biomedical signals using signal and image processing techniques

After the completion of the course, the students will be able to
- Understand the generation and characteristics of significant biomedical signals

- Explain frequency-domain and time-frequency analysis of standard biomedical signals

- Identify appropriate filters for removal of noise and artifacts from biomedical signals

- Apply suitable image processing techniques for analysis of medical image

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Develop suitable models for biomedical signals

Rangaraj M. Rangayyan, Biomedical Signal Analysis, Wiley-IEEE Press

Metin Akay, Biomedical Signal Processing, Academic Press

N. Vyas, S. Khalid, Biomedical Signal Processing, Laxmi Publications

Willis J. Tompkins, Biomedical Digital Signal Processing: C - Language Examples and Laboratory Experiments for the IBMR PC, PHI Learning Private Limited

Conference:
1. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
2. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
Journals:
1. IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
2. IEEE Journal of Translational Engineering in Health and Medicine
3. IEEE Transactions on Biomedical Engineering
4. IEEE Journal of Biomedical And Health Informatics