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Biomedical Signal Processing: Techniques and Applications
Categories:
Electronics and Communications
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Course Content
Introduction
Definition of Biomedical Signal Processing
00:00
Importance of Biomedical Signal Processing
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Brief history of Biomedical Signal Processing
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Biomedical Signals and their Characteristics
Overview of Biomedical Signals
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Acquisition of Biomedical signals
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Types of Biomedical Signals
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Characteristics of Biomedical Signals
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Sampling and Quantization
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Signal Processing Techniques
Overview of Biomedical Signal processing techniques
00:00
Signal Filtering
00:00
Time-Frequency Analysis
Fourier Transform
00:00
Wavelet Transform
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Short Time Fourier Transform
00:00
Nonlinear Signal Processing
Chaos Theory
00:00
Fractal Analysis
00:00
Multivariate Signal Processing
Principal Component Analysis
00:00
Independent Component Analysis
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Applications of Biomedical Signal Processing
Electrocardiogram (ECG) Signal Processing
00:00
Electroencephalogram (EEG) Signal Processing
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Electromyogram (EMG) Signal Processing
00:00
Speech Signal Processing
00:00
Biomedical Image Processing
Overview of Biomedical Image Processing
00:00
Magnetic Resonance Imaging (MRI)
00:00
Computed Tomography (CT)
00:00
Positron Emission Tomography (PET)
00:00
Challenges in Biomedical Signal Processing
Overview of Challenges in Biomedical Signal Processing
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Noise and Artifact Removal
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Signal Classification and Diagnosis
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Real-Time Processing
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Interpretation and Visualization
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Future Directions
Advancements in Signal Processing Techniques
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Emerging Applications in Biomedical Signal Processing
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Conclusion
Summary of Key Points
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Significance of Biomedical Signal Processing
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Future Directions and Potential Impact
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