Biomedical Systems Engineering Course

Lesson 1 • Systems Thinking in Biomedicine

Introduces systems theory applied to biological and medical contexts. Provides the conceptual lens used throughout the entire course.

Lesson 2 • Human Physiology for Engineers

Covers essential organ-system physiology needed to model and design biomedical devices. Bridges biology and engineering analysis.

Lesson 3 • Regulatory and Ethical Frameworks

Surveys device classification, safety standards, and ethical obligations in biomedical product development. Grounds design decisions in compliance requirements.

Lesson 1 • Analog-to-Digital Conversion

Explains sampling theory, quantisation, and ADC selection for biomedical systems. Prepares students for digital processing stages.

Lesson 2 • Digital Signal Processing for Biosignals

Applies FIR/IIR filtering, spectral analysis, and feature extraction to physiological data. Connects raw digital data to clinically meaningful parameters.

Lesson 3 • Analog Front-End Circuit Design

Teaches instrumentation amplifiers, filters, and isolation circuits for biosignal conditioning. Directly enables safe, high-fidelity signal capture.

Lesson 4 • Sensors and Transducers

Covers electrodes, optical, pressure, and chemical transducers used in biomedical measurement. Links transducer physics to signal fidelity.

Lesson 1 • Ultrasound Imaging

Teaches acoustic wave propagation, transducer arrays, and beamforming for ultrasound. Links hardware design to image quality metrics.

Lesson 2 • Magnetic Resonance Imaging

Explains nuclear magnetic resonance, pulse sequences, and k-space to image reconstruction. Connects MRI physics to tissue contrast and clinical utility.

Lesson 3 • Nuclear and Optical Imaging

Surveys PET, SPECT, and optical coherence tomography principles. Broadens modality knowledge for multimodal system design.

Lesson 4 • Image Quality and System Performance

Defines spatial resolution, contrast, noise, and dose metrics across modalities. Enables quantitative comparison and optimisation of imaging systems.

Lesson 1 • Biomaterial Classes and Properties

Compares metals, ceramics, polymers, and composites used in implants. Connects material properties to functional and biological performance requirements.

Lesson 2 • Mechanics of Biological Tissues

Analyses stress, strain, and viscoelastic behaviour of bone, cartilage, and soft tissue. Provides mechanical benchmarks for implant and prosthetic design.

Lesson 3 • Biocompatibility and Host Response

Examines inflammatory response, protein adsorption, and long-term tissue integration. Guides material selection to minimise adverse biological reactions.

Lesson 4 • Orthopaedic and Cardiovascular Implants

Applies biomechanics and biomaterials to joint replacements and vascular devices. Demonstrates real-world design trade-offs in high-stakes implant systems.

Lesson 1 • Respiratory and Neural System Models

Models gas exchange, lung mechanics, and neural control circuits. Broadens simulation capability to respiratory and neuromuscular systems.

Lesson 2 • Cardiovascular System Modelling

Develops Windkessel and lumped-parameter models of cardiac and vascular function. Enables simulation of haemodynamic responses to device interventions.

Lesson 3 • Model Validation and Uncertainty

Covers sensitivity analysis, parameter uncertainty, and experimental validation strategies. Ensures models meet credibility standards for regulatory submission.

Lesson 4 • Finite Element Analysis in Biomechanics

Applies FEA to stress analysis of implants and biological structures. Connects computational mechanics to implant design validation.

Lesson 1 • User Needs and Design Requirements

Translates clinical user needs into measurable engineering specifications. Anchors all subsequent design decisions in patient and clinician requirements.

Lesson 2 • Detailed Design and Prototyping

Covers CAD modelling, tolerance analysis, and rapid prototyping for biomedical devices. Bridges design intent to physical realisation.

Lesson 3 • Risk Management in Device Design

Applies hazard analysis and risk control to the design process. Integrates risk management into design outputs and regulatory submissions.

Lesson 4 • Design Verification and Validation

Distinguishes verification from validation and plans test protocols for both. Produces evidence that the device meets specifications and user needs.

Lesson 1 • Hospital Network and Data Infrastructure

Describes HL7, DICOM, and electronic health record integration for medical devices. Enables engineers to design devices that interoperate within clinical IT systems.

Lesson 2 • Therapeutic Devices and Actuators

Examines infusion pumps, ventilators, defibrillators, and electrosurgical units. Extends device knowledge to active therapeutic systems.

Lesson 3 • Patient Monitoring Systems

Covers multiparameter monitors, alarm systems, and data integration in critical care. Connects signal acquisition knowledge to bedside clinical workflows.

Lesson 4 • Electrical Safety and Electromagnetic Compatibility

Applies leakage current limits, grounding, and EMC standards to clinical environments. Ensures device safety in electrically complex hospital settings.

Lesson 1 • Wearable and Implantable Microsystems

Examines MEMS sensors, low-power electronics, and wireless telemetry for body-worn devices. Extends device design to miniaturised, long-term monitoring platforms.

Lesson 2 • Closed-Loop Physiological Control Systems

Designs feedback controllers for drug delivery, ventilation, and cardiac assist devices. Integrates modelling and control theory into therapeutic system design.

Lesson 3 • Artificial Intelligence in Biomedical Systems

Applies machine learning and deep learning to diagnostic imaging, signal classification, and clinical decision support. Connects AI methods to validated biomedical applications.

Lesson 4 • Neural Engineering and Brain-Computer Interfaces

Covers electrode arrays, neural decoding, and closed-loop neurostimulation systems. Applies signal processing and device design skills to neural applications.