Module #1 Introduction to Biomedical Signal Processing Overview of biomedical signal processing, applications, and importance
Module #2 Review of Fundamentals Revision of signal processing fundamentals, including filtering, convolution, and Fourier analysis
Module #3 Time-Frequency Analysis Introduction to time-frequency analysis, including short-time Fourier transform and continuous wavelet transform
Module #4 Advanced Filtering Techniques Introduction to advanced filtering techniques, including Wiener filtering and Kalman filtering
Module #5 Adaptive Filtering Introduction to adaptive filtering, including least-mean-squares and recursive least-squares algorithms
Module #6 Signal Decomposition Techniques Introduction to signal decomposition techniques, including independent component analysis and sparse coding
Module #7 Non-Linear Signal Processing Introduction to non-linear signal processing, including kernel methods and dynamic systems
Module #8 Machine Learning for Biomedical Signal Processing Introduction to machine learning, including supervised and unsupervised learning, and deep learning
Module #9 Feature Extraction and Selection Introduction to feature extraction and selection methods, including PCA, t-SNE, and mutual information
Module #10 Biomedical Applications of Signal Processing:ECG Case studies of biomedical signal processing:electrocardiogram (ECG) analysis
Module #11 Biomedical Applications of Signal Processing:EEG Case studies of biomedical signal processing:electroencephalogram (EEG) analysis
Module #12 Biomedical Applications of Signal Processing:Medical Imaging Case studies of biomedical signal processing:medical imaging (MRI, CT, etc.)
Module #13 Advanced Topics in Biomedical Signal Processing:Multimodal Signal Processing Introduction to multimodal signal processing, including fusion and integration of multiple biomedical signals
Module #14 Advanced Topics in Biomedical Signal Processing:Signal Quality Assessment Introduction to signal quality assessment, including noise reduction and artifact removal
Module #15 Advanced Topics in Biomedical Signal Processing:Wearable Sensors and IoT Introduction to wearable sensors and IoT applications in biomedical signal processing
Module #16 Advanced Topics in Biomedical Signal Processing:Big Data Analytics Introduction to big data analytics in biomedical signal processing, including data mining and visualization
Module #17 Advanced Topics in Biomedical Signal Processing:Deep Learning for Healthcare Introduction to deep learning for healthcare applications, including computer vision and natural language processing
Module #18 Advanced Topics in Biomedical Signal Processing:Transfer Learning and Domain Adaptation Introduction to transfer learning and domain adaptation in biomedical signal processing
Module #19 Ethical and Regulatory Considerations in Biomedical Signal Processing Discussion of ethical and regulatory considerations in biomedical signal processing, including privacy and security
Module #20 Case Studies in Biomedical Signal Processing Real-world case studies of biomedical signal processing in various applications
Module #21 Research and Development in Biomedical Signal Processing Overview of current research and development in biomedical signal processing, including emerging trends and technologies
Module #22 Group Project Development Students work on group projects to develop and implement advanced biomedical signal processing techniques
Module #23 Project Presentations and Feedback Students present their group projects and receive feedback from instructors and peers
Module #24 Advanced Topic Elective 1 Elective module on an advanced topic in biomedical signal processing, chosen by the instructor or students
Module #25 Advanced Topic Elective 2 Elective module on an advanced topic in biomedical signal processing, chosen by the instructor or students
Module #26 Advanced Topic Elective 3 Elective module on an advanced topic in biomedical signal processing, chosen by the instructor or students
Module #27 Guest Lecture 1 Guest lecture from an industry expert or researcher in biomedical signal processing
Module #28 Guest Lecture 2 Guest lecture from an industry expert or researcher in biomedical signal processing
Module #29 Final Project Submission and Evaluation Final submission and evaluation of group projects
Module #30 Course Wrap-Up & Conclusion Planning next steps in Advanced Methods in Biomedical Signal Processing career
