Signal Processing in Biomedical Engineering
( 24 Modules )

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

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Signal Processing in Biomedical Engineering ( 24 Modules )

Signal Processing in Biomedical Engineering
( 24 Modules )