Module #1 Introduction to Advanced Sensors for Health Monitoring Overview of the importance of health monitoring, types of sensors, and course objectives
Module #2 Physiological Signal Processing Fundamentals Basics of signal processing, filtering, and amplification for physiological signals
Module #3 Electroencephalography (EEG) Sensors Principles, applications, and limitations of EEG sensors for brain activity monitoring
Module #4 Electrocardiography (ECG) Sensors Principles, applications, and limitations of ECG sensors for heart activity monitoring
Module #5 Electromyography (EMG) Sensors Principles, applications, and limitations of EMG sensors for muscle activity monitoring
Module #6 Photoplethysmography (PPG) Sensors Principles, applications, and limitations of PPG sensors for heart rate and blood oxygen level monitoring
Module #7 Accelerometers and Gyroscopes for Movement Monitoring Principles, applications, and limitations of accelerometers and gyroscopes for movement tracking and fall detection
Module #8 Optical Sensors for Health Monitoring Principles, applications, and limitations of optical sensors for blood glucose, blood pressure, and other health metrics
Module #9 Acoustic Sensors for Health Monitoring Principles, applications, and limitations of acoustic sensors for lung function, fetal monitoring, and other health metrics
Module #10 Chemical Sensors for Health Monitoring Principles, applications, and limitations of chemical sensors for biomarker detection and disease diagnosis
Module #11 Nanotechnology-based Sensors for Health Monitoring Principles, applications, and limitations of nanotechnology-based sensors for health monitoring
Module #12 Wearable Sensors for Health Monitoring Design, applications, and limitations of wearable sensors for continuous health monitoring
Module #13 Implantable Sensors for Health Monitoring Design, applications, and limitations of implantable sensors for continuous health monitoring
Module #14 Point-of-Care (POC) Sensors for Health Monitoring Design, applications, and limitations of POC sensors for rapid diagnostic testing
Module #15 Machine Learning for Sensor Data Analysis Introduction to machine learning techniques for sensor data analysis and pattern recognition
Module #16 Data Analytics for Health Monitoring Techniques for data analytics, visualization, and interpretation for health monitoring
Module #17 Sensor Fusion for Health Monitoring Principles, applications, and limitations of sensor fusion for multi-modal health monitoring
Module #18 Cybersecurity for Health Monitoring Sensors Importance, threats, and countermeasures for ensuring cybersecurity in health monitoring sensors
Module #19 Regulatory Considerations for Health Monitoring Sensors Overview of regulatory frameworks, standards, and guidelines for health monitoring sensors
Module #20 Commercialization and Entrepreneurship in Health Monitoring Sensors Business models, market trends, and entrepreneurship opportunities in health monitoring sensors
Module #21 Case Studies in Advanced Sensors for Health Monitoring Real-world examples and applications of advanced sensors for health monitoring
Module #22 Future Directions in Advanced Sensors for Health Monitoring Emerging trends, challenges, and opportunities in advanced sensors for health monitoring
Module #23 Group Project:Designing an Advanced Sensor for Health Monitoring Students design and propose an advanced sensor for health monitoring
Module #24 Group Project Presentations and Feedback Students present their group projects and receive feedback from instructors and peers
Module #25 Course Wrap-Up & Conclusion Planning next steps in Advanced Sensors for Health Monitoring career
