2024/25 Taught Postgraduate Module Catalogue

MECH5605M Biomechatronics and Medical Robotics

15 creditsClass Size: 80

Module manager: Professor Abbas Dehghani
Email: A.A.Dehghani-Sanij@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2024/25

Pre-requisite qualifications

Undergraduate degree in Physical or Engineering Sciences

Programming such as MATLAB

This module is not approved as an Elective

Module summary

Biomechatronics is the application of mechatronic engineering to human biology. The aim of this module is to provide an understanding of biomechatronic and Medical Robotic engineering systems challenges, solutions and analysis.

Objectives

In this module a number of areas of interest including: sensors, actuators and Artificial Intelligence for control application will be covered. A number of specific topic will also be included in the module i.e. auditory and optical prostheses, artificial hearts and active and passive prosthetic limbs and the biomechatronic and biorobotic systems (hardware & signal processing) that underpin their operation.

Learning outcomes
On successful completion of the module students will have demonstrated the following learning outcomes :
1. Discuss the intricate relationship between mind and body which will allow students to evaluate different forms of biofeedback that are used for diagnostics and rehabilitation.
2. Apply specialised engineering skills (mechanical and electrical and computing as well as intelligent control) to analyze the performance of an active prosthetic device (e.g. prosthetic limb, hearing implant or artificial heart).
3. Describe the operational principles of a number of implanted and attachable biomechatronic and biorobotic systems used to monitor and/or stimulate physiological processes or become part of the human body, including those associated with hearing, seeing, thinking and movement amongst others.
4. Understand the relevant sensors, actuators and control strategies including the signal processing required to interpret bioelectrical signals and the ability to develop MATLAB code to perform this analysis.

Upon successful completion of this module the following Engineering Council Accreditation of Higher Education Programmes (AHEP) learning outcome descriptors (fourth edition) are satisfied:
5. Formulate and analyse complex problems to reach substantiated conclusions. This will involve evaluating available data using first principles of mathematics, statistics, natural science and engineering principles, and using engineering judgment to work with information that may be uncertain or incomplete, discussing the limitations of the techniques employed. (M2)
6. Select and apply appropriate computational and analytical techniques to model complex problems, discussing the limitations of the techniques employed. (M3)
7. Select and critically evaluate technical literature and other sources of information to solve complex problems. (M4)
8. Design solutions for complex problems that evidence some originality and meet a combination of societal, user, business and customer needs as appropriate. This will involve consideration of applicable health and safety, diversity, inclusion, cultural, societal, environmental and commercial matters, codes of practice and industry standards. (M5)
9. Function effectively as an individual, and as a member or leader of a team. Evaluate effectiveness of own and team performance. (M16)

Skills Learning Outcomes

On successful completion of the module students will have demonstrated the following skills:

Problem solving & analytical skills, Aspects of robotic system design

Syllabus

1. Introduction to Biomechatronics and Medical Robotics
2. Sensors and actuators relevant to this area of application
3. Intelligent control in biomechatronics and Medical Robotics
4. Hearing Prostheses
5. Visual Prostheses & Sensory Substitution
6. Electrocardiography
7. Artificial Hearts
8. Respiration
9. Active Limb Prostheses
10. Medical Imaging/ Robotic Surgery

Methods of Assessment

We are currently refreshing our modules to make sure students have the best possible experience. Full assessment details for this module are not available before the start of the academic year, at which time details of the assessment(s) will be provided.

Assessment for this module will consist of;

3 x Coursework

Teaching methods

Delivery type	Number	Length hours	Student hours
Supervision	2	3.00	6.00
seminars	11	1.00	11.00
Practicals	15	1.00	15.00
Lecture	11	1.00	11.00
Private study hours			107.00
Total Contact hours			43.00
Total hours (100hr per 10 credits)			150.00

Opportunities for Formative Feedback

An online discussion board will be monitored during specified times each week.

Minerva/TopHat quiz after each topic.

Reading list

The reading list is available from the Library website

Last updated: 29/04/2024

Disclaimer

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• Undergraduate module catalogue
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