Unit 3679: Advanced Biomedical Engineering Technologies

1. Neural Interface Technology

1.1 Principles of Neural Interfaces

• Overview of neural signals and neural coding
• Types of neural interfaces: invasive, non-invasive, and hybrid

1.2 Brain-Computer Interfaces (BCI)

• Signal acquisition and processing
• Applications: communication aids, neurorehabilitation

1.3 Neural Prosthetics

• Design and function of prosthetic devices
• Motor and sensory prosthetics

1.4 Neurostimulation Devices

• Techniques: deep brain stimulation, transcranial magnetic stimulation
• Therapeutic applications and challenges

2. Advanced Medical Imaging Techniques

2.1 Magnetic Resonance Imaging (MRI)

• Physics and principles of MRI
• Image acquisition and safety considerations

2.2 Computed Tomography (CT)

• CT imaging principles
• Reconstruction algorithms and image quality

2.3 Positron Emission Tomography (PET)

• Radioisotopes and tracer mechanisms
• Functional imaging and quantification

2.4 Ultrasound Imaging

• Principles of ultrasound wave propagation
• Doppler techniques and contrast agents

2.5 Image Processing and Interpretation

• Image enhancement and segmentation
• 3D visualization and diagnostic applications

3. Biomechanics in Biomedical Engineering

3.1 Fundamentals of Biomechanics

• Mechanical properties of biological tissues
• Kinematics and kinetics of human movement

3.2 Analysis of Forces on the Human Body

• Load and stress distribution in bones and joints
• Injury mechanics and prevention

3.3 Orthopedic Implant Design

• Material selection and biocompatibility
• Design criteria and failure analysis

3.4 Mechanics of Biological Tissues

• Viscoelasticity and tissue remodeling
• Modeling techniques and computational biomechanics

4. Advanced Biomedical Instrumentation

4.1 Design of Medical Devices

• Electronic and mechanical considerations
• User interface and ergonomics

4.2 Calibration and Maintenance

• Calibration standards and procedures
• Preventive maintenance and troubleshooting

4.3 Safety and Regulatory Compliance

• Medical device standards (e.g., ISO, FDA regulations)
• Risk management and quality assurance

5. Biomaterials and Tissue Engineering

5.1 Properties of Biomaterials

• Types of biomaterials: polymers, ceramics, metals
• Biocompatibility and biodegradability

5.2 Scaffold Design

• Fabrication techniques and architectures
• Mechanical and biological considerations

5.3 Tissue Regeneration Techniques

• Cell culture and bioreactors
• Growth factors and signaling pathways

5.4 Applications in Regenerative Medicine

• Organ and tissue replacement
• Advances in 3D bioprinting

6. Advanced Electronics and Signal Processing

6.1 Electronic Circuits in Biomedical Devices

• Sensors and transducers
• Amplifiers and filters

6.2 Signal Acquisition and Conditioning

• Noise reduction and artifact removal
• Analog-to-digital conversion

6.3 Biomedical Signal Processing Techniques

• Time and frequency domain analysis
• Feature extraction and pattern recognition

7. Clinical Engineering and Healthcare Technology Management

7.1 Role of Clinical Engineers

• Technology management in healthcare facilities
• Equipment procurement and lifecycle management

7.2 Maintenance and Risk Assessment

• Preventive and corrective maintenance strategies
• Failure modes and effects analysis (FMEA)

7.3 Regulatory and Compliance Standards

• Patient safety protocols
• Documentation and audit processes

8. Biomedical Data Analytics and Machine Learning

8.1 Biomedical Data Types and Sources

• Medical images, physiological signals, electronic health records

8.2 Data Preprocessing and Feature Engineering

• Data cleaning and normalization
• Dimensionality reduction techniques

8.3 Machine Learning Algorithms

• Supervised, unsupervised, and reinforcement learning
• Deep learning in medical image analysis

8.4 Applications in Healthcare

• Disease diagnosis and prognosis
• Treatment optimization and personalized medicine

8.5 Ethical Considerations

• Data privacy and security
• Bias and fairness in AI models