Module #1 Introduction to Biomedical Signal Processing Overview of biomedical signal processing, importance of real-time processing, and applications in healthcare
Module #2 Fundamentals of Biomedical Signals Types of biomedical signals, signal characteristics, and noise in biomedical signals
Module #3 Analog-to-Digital Conversion Principles of analog-to-digital conversion, sampling theorem, and quantization error
Module #4 Digital Signal Processing Fundamentals Discrete-time signals, digital signal representation, and basic digital signal processing operations
Module #5 Time-Domain Analysis of Biomedical Signals Time-domain analysis techniques, including filtering, convolution, and deconvolution
Module #6 Frequency-Domain Analysis of Biomedical Signals Frequency-domain analysis techniques, including Fourier transform, power spectral density, and filtering
Module #7 Time-Frequency Analysis of Biomedical Signals Time-frequency analysis techniques, including short-time Fourier transform, continuous wavelet transform, and Stockwell transform
Module #8 Real-Time Filtering and Convolution Real-time implementation of digital filters, including FIR and IIR filters, and convolution
Module #9 Real-Time Feature Extraction Real-time extraction of features from biomedical signals, including time-domain, frequency-domain, and time-frequency features
Module #10 Real-Time Classification and Machine Learning Real-time classification of biomedical signals using machine learning techniques, including supervised and unsupervised learning
Module #11 Real-Time Signal Processing for ECG Analysis Real-time processing of ECG signals, including filtering, feature extraction, and arrhythmia detection
Module #12 Real-Time Signal Processing for EEG Analysis Real-time processing of EEG signals, including filtering, feature extraction, and epileptic seizure detection
Module #13 Real-Time Signal Processing for Blood Pressure Analysis Real-time processing of blood pressure signals, including filtering, feature extraction, and hypertension detection
Module #14 Real-Time Signal Processing for Respiratory Signal Analysis Real-time processing of respiratory signals, including filtering, feature extraction, and apnea detection
Module #15 Real-Time Signal Processing for Muscular Signal Analysis Real-time processing of muscular signals, including filtering, feature extraction, and muscle fatigue detection
Module #16 Real-Time Implementation Using Microcontrollers and FPGAs Real-time implementation of biomedical signal processing algorithms using microcontrollers and FPGAs
Module #17 Real-Time Software Development for Biomedical Signal Processing Real-time software development for biomedical signal processing using programming languages such as C, C++, and Python
Module #18 System Design and Integration for Real-Time Biomedical Signal Processing System design and integration for real-time biomedical signal processing, including hardware-software co-design and system testing
Module #19 Clinical Applications of Real-Time Biomedical Signal Processing Clinical applications of real-time biomedical signal processing, including patient monitoring, diagnosis, and treatment
Module #20 Ethical and Regulatory Considerations for Real-Time Biomedical Signal Processing Ethical and regulatory considerations for real-time biomedical signal processing, including data privacy, security, and FDA regulations
Module #21 Case Studies in Real-Time Biomedical Signal Processing Case studies of real-time biomedical signal processing applications, including cardiac arrhythmia detection, seizure detection, and blood glucose monitoring
Module #22 Advanced Topics in Real-Time Biomedical Signal Processing Advanced topics in real-time biomedical signal processing, including compressed sensing, machine learning, and deep learning
Module #23 Real-Time Biomedical Signal Processing for Wearable Devices Real-time biomedical signal processing for wearable devices, including smartwatches, fitness trackers, and healthcare wearables
Module #24 Real-Time Biomedical Signal Processing for Implantable Devices Real-time biomedical signal processing for implantable devices, including pacemakers, implantable cardiac defibrillators, and neurostimulators
Module #25 Real-Time Biomedical Signal Processing for Telemedicine and Remote Monitoring Real-time biomedical signal processing for telemedicine and remote monitoring, including wireless communication protocols and data transmission
Module #26 Real-Time Biomedical Signal Processing for Big Data Analytics Real-time biomedical signal processing for big data analytics, including distributed processing and cloud computing
Module #27 Real-Time Biomedical Signal Processing for Cyber-Physical Systems Real-time biomedical signal processing for cyber-physical systems, including sensor networks and IoT-enabled healthcare devices
Module #28 Real-Time Biomedical Signal Processing for Artificial Intelligence and Machine Learning Real-time biomedical signal processing for artificial intelligence and machine learning, including deep learning and reinforcement learning
Module #29 Real-Time Biomedical Signal Processing for Edge Computing Real-time biomedical signal processing for edge computing, including fog computing and mist computing
Module #30 Course Wrap-Up & Conclusion Planning next steps in Real-Time Biomedical Signal Processing career
