Module #1 Introduction to Biomedical Signal Processing Overview of biomedical signal processing, importance, and applications in biomedical engineering
Module #2 Biological Signals and Systems Anatomy and physiology of biological systems, signal generation and propagation
Module #3 Signal Types and Characteristics Types of biomedical signals (ECG, EEG, EMG, etc.), signal characteristics, and frequency content
Module #4 Noise in Biomedical Signals Types of noise in biomedical signals, noise sources, and effects on signal quality
Module #5 Signal Acquisition and Instrumentation Biomedical signal acquisition systems, sensors, and instrumentation
Module #6 Analog-to-Digital Conversion Principles of analog-to-digital conversion, sampling, and quantization
Module #7 Digital Signal Processing Fundamentals Introduction to digital signal processing, time and frequency domain, and digital filtering
Module #8 Filtering in Biomedical Signal Processing Types of filters (FIR, IIR, adaptive), filter design, and implementation
Module #9 Fourier Analysis and Spectral Estimation Fourier transform, power spectral density, and spectral estimation techniques
Module #10 Time-Frequency Analysis Short-time Fourier transform, wavelet transform, and other time-frequency analysis techniques
Module #11 Feature Extraction and Selection Feature extraction techniques (time, frequency, time-frequency), feature selection, and dimensionality reduction
Module #12 Classification and Pattern Recognition Introduction to classification, pattern recognition, and machine learning in biomedical signal processing
Module #13 ECG Signal Processing ECG signal processing, feature extraction, and arrhythmia detection
Module #14 EEG Signal Processing EEG signal processing, feature extraction, and brain-computer interface applications
Module #15 EMG Signal Processing EMG signal processing, feature extraction, and muscle activity analysis
Module #16 Image Processing in Biomedical Engineering Introduction to biomedical image processing, image filtering, and feature extraction
Module #17 Signal Processing for Medical Imaging Signal processing for medical imaging modalities (MRI, CT, Ultrasound)
Module #18 Biomedical Signal Processing for Disease Diagnosis Signal processing for disease diagnosis, biomarker detection, and personalized medicine
Module #19 Signal Processing for Wearable Devices and IoT Signal processing for wearable devices, Internet of Things (IoT), and remote health monitoring
Module #20 Signal Processing for Neuroprosthetics and Brain-Machine Interfaces Signal processing for neuroprosthetics, brain-machine interfaces, and neural decoding
Module #21 Statistical Signal Processing and Modeling Statistical signal processing, signal modeling, and parameter estimation
Module #22 Computational Methods and Tools Computational methods and tools for biomedical signal processing (MATLAB, Python, etc.)
Module #23 Case Studies and Applications Real-world case studies and applications of biomedical signal processing in healthcare
Module #24 Course Wrap-Up & Conclusion Planning next steps in Signal Processing in Biomedical Engineering career
