Module #6 Nonlinear Signal Analysis Introduction to nonlinear signal analysis:chaos theory, fractals, and nonlinear filtering
Module #7 Wavelet Analysis Wavelet transform:theory, applications, and implementation
Module #8 Independent Component Analysis (ICA) ICA:theory, algorithms, and applications in biomedical signal processing
Module #9 Blind Source Separation (BSS) BSS:theory, algorithms, and applications in biomedical signal processing
Module #10 Machine Learning for Biomedical Signal Analysis Introduction to machine learning:supervised, unsupervised, and reinforcement learning
Module #11 Deep Learning for Biomedical Signal Analysis Deep learning techniques:CNN, RNN, and LSTM for biomedical signal analysis
Module #12 Feature Extraction and Selection Feature extraction and selection techniques for biomedical signal analysis
Module #13 Classification and Clustering Classification and clustering techniques for biomedical signal analysis
Module #14 Signal Quality Assessment Signal quality assessment metrics and techniques for biomedical signal analysis
Module #15 Artifact Removal and Noise Reduction Artifact removal and noise reduction techniques for biomedical signal analysis
Module #16 Biomedical Signal Modeling and Simulation Biomedical signal modeling and simulation techniques for signal analysis and synthesis
Module #17 ECG Signal Analysis ECG signal analysis:filtering, feature extraction, and arrhythmia detection
Module #18 EEG Signal Analysis EEG signal analysis:filtering, feature extraction, and epilepsy detection
Module #19 EMG Signal Analysis EMG signal analysis:filtering, feature extraction, and muscle activity detection
Module #20 FPGA-based Biomedical Signal Processing FPGA-based implementation of biomedical signal processing algorithms
Module #21 Case Studies in Biomedical Signal Analysis Real-world case studies in biomedical signal analysis:cardiac arrhythmia detection, epilepsy diagnosis, and muscle activity detection
Module #22 Biomedical Signal Analysis Software Tools Overview of biomedical signal analysis software tools:MATLAB, Python, and LabVIEW
Module #23 Data Mining and Visualization in Biomedical Signal Analysis Data mining and visualization techniques for biomedical signal analysis
Module #24 Ethics and Regulatory Aspects in Biomedical Signal Analysis Ethical and regulatory considerations in biomedical signal analysis
Module #25 Course Wrap-Up & Conclusion Planning next steps in Advanced Techniques in Biomedical Signal Analysis career
