2022/23 Taught Postgraduate Module Catalogue
MECH5605M Biomechatronics and Medical Robotics
15 creditsClass Size: 80
Module manager: Dr Abbas Dehghani
Email: A.A.Dehghani-Sanij@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2022/23
Pre-requisite qualifications
BEng or equivalent - The module requires students to have a degree level understanding of engineering.Students should have understanding of some aspects of system design, kinematics, dynamics, control and analysis.
MATLAB
This module is not approved as an Elective
Objectives
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.
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
1. A conceptual grasp of 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. The ability to 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. The knowledge to 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. An appreciation of 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 UK-SPEC learning outcome descriptors are satisfied:
A comprehensive understanding of the relevant scientific principles of the specialisation (SM1m, SM7M)
Knowledge and understanding of mathematical and statistical methods necessary to underpin education in medical engineering and to enable them to apply a range of mathematical and statistical methods, tools and notations proficiently and critically in the analysis and solution of engineering problems (SM2m)
Ability to apply and integrate knowledge and understanding of other engineering disciplines to support study of study of medical engineering and the ability to evaluate them critically and to apply them effectively (SM3m)
Awareness of developing technologies related to medical engineering (SM4m)
A comprehensive knowledge and understanding of mathematical and computational models relevant to the medical engineering discipline, and an appreciation of their limitations (SM5m)
Understanding of concepts relevant to the discipline, some from outside engineering, and the ability to evaluate them critically and to apply them effectively, including in engineering projects (SM6m, SM9M)
Understanding of engineering principles and the ability to apply them to undertake critical analysis of key engineering processes (EA1m)
Ability to identify, classify and describe the performance of systems and components through the use of analytical methods and modelling techniques (EA2)
Understanding of, and the ability to apply, an integrated or systems approach to solving complex engineering problems (EA4m)
Ability to use fundamental knowledge to investigate new and emerging technologies in medical engineering (EA5m)
Ability both to apply appropriate engineering analysis methods for solving complex problems in engineering and to assess their limitations (EA6m, EA6M)
Knowledge, understanding and skills to work with information that may be incomplete or uncertain, quantify the effect of this on the design and, where appropriate, use theory or experimental research to mitigate deficiencies (D3m, DM9)
Apply advanced problem-solving skills, technical knowledge and understanding, to establish rigorous and creative solutions that are fit for purpose for all aspects of the problem including production, operation, maintenance and disposal (D4)
Awareness of the need for a high level of professional and ethical conduct in engineering (EL1m, EL8M)
Awareness of relevant regulatory requirements governing engineering activities in the context of the particular specialisation (EL5m, EL12M)
Understanding of the key drivers for business success, including innovation, calculated commercial risks and customer satisfaction (EL7m)
Advanced level knowledge and understanding of a wide range of engineering materials and components (P2m, P12M)
Understanding of the use of technical literature and other information sources (P4)
Understanding of appropriate codes of practice and industry standards (P6)
Awareness of quality issues and their application to continuous improvement (P7)
Ability to work with technical uncertainty (P8)
A thorough understanding of current practice in medical engineering and its limitations, and some appreciation of likely new developments (P9m)
Understanding of different roles within an engineering team and the ability to exercise initiative and personal responsibility, which may be as a team member or leader (P11m)
working with others, and the effective use of general IT facilities (G1)
Skills outcomes
On completion of this module students will have acquired the following skills:
- analytical,
- problem solving,
- mathematical derivations and solutions specifically related to biomechatronics, medical robotics and intelligent control.
Syllabus
Introduction to Biomechatronics and Medical Robotics
Sensors and actuators relevant to this area of application
Intelligent control in biomechatronics and Medical Robotics
Hearing Prostheses
Visual Prostheses & Sensory Substitution
Electrocardiography
Artificial Hearts
Respiration
Active Limb Prostheses
Medical Imaging/ Robotic Surgery
Teaching methods
| Delivery type | Number | Length hours | Student hours |
| Computer Class | 55 | 1.00 | 55.00 |
| Drop-in Session | 4 | 4.00 | 4.00 |
| Lecture | 11 | 1.00 | 11.00 |
| Independent online learning hours | 40.00 | ||
| Private study hours | 40.00 | ||
| Total Contact hours | 70.00 | ||
| 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.
Methods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| Assignment | Assignment 1 | 50.00 |
| Assignment | Assignment 2 | 50.00 |
| Total percentage (Assessment Coursework) | 100.00 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading list
The reading list is available from the Library websiteLast updated: 29/04/2022 15:31:27
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
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