Biomedical Signal Processing Techniques
( 25 Modules )

Module #1
Introduction to Biomedical Signal Processing
Overview of biomedical signal processing, importance, and applications

Module #2
Biological Signal Characteristics
Types of biomedical signals, signal properties, and noise characteristics

Module #3
Signal Acquisition and Preprocessing
Signal acquisition techniques, amplification, filtering, and preprocessing methods

Module #4
Time Domain Analysis
Time domain signal features, signal averaging, and noise reduction techniques

Module #5
Frequency Domain Analysis
Fourier transform, power spectral density, and frequency domain signal features

Module #6
Filtering Techniques
Types of filters, filter design, and implementation

Module #7
Artifact Removal and Noise Reduction
Methods for removing artifacts and reducing noise in biomedical signals

Module #8
Feature Extraction Techniques
Time domain, frequency domain, and time-frequency domain feature extraction methods

Module #9
Time-Frequency Analysis
Short-time Fourier transform, continuous wavelet transform, and other time-frequency analysis techniques

Module #10
Nonlinear Signal Analysis
Nonlinear signal processing techniques, including chaos theory and fractal analysis

Module #11
ECG Signal Processing
ECG signal acquisition, preprocessing, and feature extraction techniques

Module #12
EEG Signal Processing
EEG signal acquisition, preprocessing, and feature extraction techniques

Module #13
EMG Signal Processing
EMG signal acquisition, preprocessing, and feature extraction techniques

Module #14
Image Processing in Biomedical Signal Processing
Image processing techniques, including filtering, enhancement, and segmentation

Module #15
Machine Learning and Deep Learning in Biomedical Signal Processing
Introduction to machine learning and deep learning for biomedical signal processing

Module #16
Biomedical Signal Classification
Signal classification techniques, including k-NN, SVM, and neural networks

Module #17
Biomedical Signal Segmentation
Signal segmentation techniques, including thresholding, clustering, and machine learning methods

Module #18
Biomedical Signal Compression
Signal compression techniques, including lossless and lossy compression methods

Module #19
Telemedicine and Remote Health Monitoring
Role of biomedical signal processing in telemedicine and remote health monitoring

Module #20
Wearable Sensors and IoT in Biomedical Signal Processing
Applications of wearable sensors and IoT in biomedical signal processing

Module #21
Neuroengineering and Brain-Computer Interfaces
Applications of biomedical signal processing in neuroengineering and brain-computer interfaces

Module #22
Cardiovascular Signal Processing
Signal processing techniques for cardiovascular signals, including ECG, blood pressure, and blood flow

Module #23
Respiratory Signal Processing
Signal processing techniques for respiratory signals, including ECG, breathing rate, and airflow

Module #24
Neonatal and Fetal Signal Processing
Signal processing techniques for neonatal and fetal signals, including ECG, EEG, and Doppler

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Biomedical Signal Processing Techniques career

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Biomedical Signal Processing Techniques ( 25 Modules )

Biomedical Signal Processing Techniques
( 25 Modules )