Duration
33h Th, 14h Pr, 15h Proj.
Number of credits
| Master of Science (MSc) in Biomedical Engineering | 5 crédits |
Lecturer
Language(s) of instruction
English language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
Human motion analysis is a field at the interaction of the engineering sciences and various disciplines depending on the final users of the technology. Main fields of application of human motion analysis include medicine (orthopedics, geriatrics, rehabilitation medicine ...), video game and movie industry, sport, civil engineering ... Because of these numerous applications, studying human motion requires knowledge on how to acquire and process signals related to motion but also on how to express these outputs in order to answer to the demand of the end-users. Human motion analysis is consequently and usually a multi-disciplinary work that will require engineers to interact with other specialists from other fields of expertise.
This course will explore all the pipeline of the acquisition process: protocol definition, practical use of measurement systems, processing of signal and use of musculo-skeletal models to evaluate the motion. The course will therefore be composed of both theoretical and practical activities including:
Theoretical activities:
- Kinematics and kinetics of the human body
- Muscle biomechanics
- Musculoskeletal modeling
Practical activities:
- Evaluation of motion inside and outside of the lab
- Evaluation of the muscular activity (in the lab)
- Evaluation of the muscular strength (at the University Hispital of Liège)
Learning outcomes of the learning unit
At the end of the course, you should have acquire an understanding of the common framework used to describe the human motion, a global overview of the tools that can be used in motion analysis and an introduction to the pratical use of both lab and low-cost instrumentation used for motion analysis. These learning outcomes will include:
- Evaluation of the human kinematics and kinetics (from measuring tools to signal processing)
- Evaluation of the muscular activity (from measuring tools to signal processing)
- Musculo-skeletal modelling
Prerequisite knowledge and skills
Planned learning activities and teaching methods
Learning activities will include:
- Theoretical lessons to acquire the basic concepts of motion analysis
- Practical lessons to acquire practice with both the acquisition tools in the lab and the processing/modelling ones.
- Projects which should help you to integrate all previous knowledge
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Additional information:
The norm will be to have the courses face to face.
If the situation requires it a limited number of hours could be given via podcast. In these situations presential time will be reduced in order to ensure an equivalent amount of work for the students.
Recommended or required readings
The reference book for this course is :
Biomechanics of Movement : The Science of Sports, Robotics, and Rehabilitation by Thomas K. Uchida and Scott L Delp
This book is available electronically of the ULiege library website:
https://explore.lib.uliege.be/discovery/fulldisplay?docid=alma9921915583402321&context=L&vid=32ULG_INST:ULIEGE&lang=fr&search_scope=ULIEGE&adaptor=Local%20Search%20Engine&isFrbr=true&tab=ULIEGE&query=any,contains,biomechanics&sortby=date_d&facet=frbrgroupid,include,9014970808749589398&offset=0
Note that the book does not cover all the content of the course. Therfore additional references will be given when relevant.
Exam(s) in session
Any session
- In-person
oral exam
Written work / report
Additional information:
The evaluation will be composed of 2 parts:
- group project on musculoskeletal modeling using Opensim (report): 30% of the final quote
- individual oral exam: 70% of the final quote
Work placement(s)
Organisational remarks and main changes to the course
Contacts
cedric.schwartz@uliege.be