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Conventional laboratory experiments are useful mainly to assist understanding or analysis. Because they are of necessity stereotyped, they are of limited usefulness when a circuit or system must be designed to meet a given specification. The majority of engineering tasks fall into this latter category, and therefore require design or synthesis skills, in addition to the understanding of underlying engineering principles.

Students on all Biomedical Engineering pathways will work together on the main design exercises to produce a software and a hardware prototype system as group projects as well as smaller individual projects.

This module includes individual and team design exercises devised to provide a bridge between 'conventional' experiments and the project work in the third and fourth years, (which in turn provide a bridge to 'real' projects in industry). The exercise has real deadlines and concrete deliverables and students are encouraged to be creative, develop imaginative solutions and to make mistakes.

Exercises share common characteristics:
• Customer orientated rather than proscriptive specifications are given
• Design work carried out, bringing academic knowledge to bear on practical problems
• Laboratory sessions are used for guided development/ construction/ verification of designs
• Allow students to demonstrate their communication skills in writing individual and group reports/presentations.

In support of these design exercises, students will be introduced to the importance of human-computer interaction in software design and computer systems, in particular the specialist requirements for a Biomedical application. In addition, they will be introduced to some advanced simulation and design modelling frameworks and tools for biomechanical systems.



They will explore how the study of human interaction affects the design of Biomedical systems, hardware and software, and improve their awareness of the issues that determine the usability of an interactive system.

They will explore the analogue relationship between mechanical and electrical systems, enabling circuit problems and mechanical systems to be treated in the same framework. Combining this with modelling and analysis will develop a better understanding of vibration problems in continuous mechanical systems and allow simulation and visualisation of any mechanical implementation within the design project.

This module teaches the applications of biomedical signal analysis and control systems for biomedicine. The module emphasises developing an understanding through lab-based system design exercises by applying theoretical knowledge taught in the module. The module is split in two parts: 50% control and 50% biomedical signals analysis.
The control topics include electrical/mechanical analogues, p notation, block diagrams, electromechanical systems: torque, inertia, motor model. Using this knowledge, you will follow the Stanford bio-design process to develop an Active Tremor Suppression Brace for Parkinsons
The biomedical signals analysis part will provide a theoretical understanding of the fundamentals of biomedical signal processing, including representation of signals, signal arithmetics, frequency analysis and time-frequency representation of a signal and the fundamentals of Electrocardiogram (ECG) signals. You will design an automated algorithm for ECG analysis in the lab where you will write programmes to separate artefacts and identify individual ECG waves which are fundamental in clinical diagnosis of cardiac diseases.

Conventional laboratory experiments are useful mainly to assist understanding or analysis. Because they are of necessity stereotyped, they are of limited usefulness when a circuit or system must be designed to meet a given specification. The majority of engineering tasks fall into this latter category, and therefore require design or synthesis skills, in addition to the understanding of underlying engineering principles.

Students on all Biomedical Engineering pathways will work together on the main design exercises to produce a software and a hardware prototype system as group projects as well as smaller individual projects.

This module includes individual and team design exercises devised to provide a bridge between 'conventional' experiments and the project work in the third and fourth years, (which in turn provide a bridge to 'real' projects in industry). The exercise has real deadlines and concrete deliverables and students are encouraged to be creative, develop imaginative solutions and to make mistakes.

Exercises share common characteristics:
• Customer orientated rather than proscriptive specifications are given
• Design work carried out, bringing academic knowledge to bear on practical problems
• Laboratory sessions are used for guided development/ construction/ verification of designs
• Allow students to demonstrate their communication skills in writing individual and group reports/presentations.

In support of these design exercises, students will be introduced to the importance of human-computer interaction in software design and computer systems, in particular the specialist requirements for a Biomedical application. In addition, they will be introduced to some advanced simulation and design modelling frameworks and tools for biomechanical systems.



They will explore how the study of human interaction affects the design of Biomedical systems, hardware and software, and improve their awareness of the issues that determine the usability of an interactive system.

They will explore the analogue relationship between mechanical and electrical systems, enabling circuit problems and mechanical systems to be treated in the same framework. Combining this with modelling and analysis will develop a better understanding of vibration problems in continuous mechanical systems and allow simulation and visualisation of any mechanical implementation within the design project.

This module teaches the applications of biomedical signal analysis and control systems for biomedicine. The module emphasises developing an understanding through lab-based system design exercises by applying theoretical knowledge taught in the module. The module is split in two parts: 50% control and 50% biomedical signals analysis.
The control topics include electrical/mechanical analogues, p notation, block diagrams, electromechanical systems: torque, inertia, motor model. Using this knowledge, you will follow the Stanford bio-design process to develop an Active Tremor Suppression Brace for Parkinsons
The biomedical signals analysis part will provide a theoretical understanding of the fundamentals of biomedical signal processing, including representation of signals, signal arithmetics, frequency analysis and time-frequency representation of a signal and the fundamentals of Electrocardiogram (ECG) signals. You will design an automated algorithm for ECG analysis in the lab where you will write programmes to separate artefacts and identify individual ECG waves which are fundamental in clinical diagnosis of cardiac diseases.

This course is designed to develop fundamental mathematical skills which Biomedical engineers need in order to tackle a wide variety of engineering and design problems. There is a particular focus on developing an understanding of mathematics as a toolbox through practical examples based on case studies from academia and industry

This course is designed to develop fundamental mathematical skills which Biomedical engineers need in order to tackle a wide variety of engineering and design problems. There is a particular focus on developing an understanding of mathematics as a toolbox through practical examples based on case studies from academia and industry

This course is designed to develop fundamental mathematical skills which Biomedical engineers need in order to tackle a wide variety of engineering and design problems. There is a particular focus on developing an understanding of mathematics as a toolbox through practical examples based on case studies from academia and industry

Medical Engineering (or Biomedical Engineering) is informed by and contributes to research in physiology, healthcare and engineering and the physical sciences. Creativity and decision making based on research and user needs is then required in the design and development of devices and systems and their effective operation. These activities should be guided by professional practice, in accordance with professional and research ethics and within the regulatory frameworks to ensure robust, cost-effective, safe and sustainable outcomes. This module aims to guide you in developing your understanding, knowledge and skills for these activities.

Medical Engineering (or Biomedical Engineering) is informed by and contributes to research in physiology, healthcare and engineering and the physical sciences. Creativity and decision making based on research and user needs is then required in the design and development of devices and systems and their effective operation. These activities should be guided by professional practice, in accordance with professional and research ethics and within the regulatory frameworks to ensure robust, cost-effective, safe and sustainable outcomes. This module aims to guide you in developing your understanding, knowledge and skills for these activities.

Medical Engineering (or Biomedical Engineering) is informed by and contributes to research in physiology, healthcare and engineering and the physical sciences. Creativity and decision making based on research and user needs is then required in the design and development of devices and systems and their effective operation. These activities should be guided by professional practice, in accordance with professional and research ethics and within the regulatory frameworks to ensure robust, cost-effective, safe and sustainable outcomes. This module aims to guide you in developing your understanding, knowledge and skills for these activities.