Laboratory Experiments:
1. Acquisition of Electrocardiogram and determining the cardiac vector.
2. Acquisition of Electromyogram and determining conduction velocity.
3. Study of Audiometer and Air conduction thresholds testing; Plotting of Audiogram.
4. Study of Blood Pressure meter and Phonocardiograph.
5. Design and implementation of circuits with biomedical applications ( like QRS detector, ECG Amplifier, EMG .….etc)
6. Study and acquisition of PPG and Realization of a Pacemaker circuit.
7. Spectral Modeling and Analysis of ECG Signals
8. Detection of QRS complex and heart rate measurement.
9. Auto-correlation and cross correlation of ECG signals.
10. Signal Averaging to improve the SNR.
11. Design of 50 Hz notch filter for ECG signal and display PSD.
12. Data Compression Techniques: AZTEC, TP, FAN algorithms.
13. Design of Wiener Filter to remove Artifacts in ECG Signal.
14. Design of Adaptive Noise Canceller for the removal of Interference and Noise in Bio signals
Course Outcomes:
After going through this course the student will be able to
1. Develop / Use data acquisition systems for biomedical signal analysis
2. Apply suitable signal processing algorithms for biomedical signal analysis and feature extraction.
3. Design and implement digital filtering and data compression techniques on biomedical signals.