Faculty of Health, Medicine and Life Sciences

Module Information
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HMS4503  - Analysis and Restoration of Human Locomotion

Period 2: from 30-10-2023 to 22-12-2023
Coordinator: Witlox, A.
ECTS credits: 6
Language of instruction: English

Publication dates timetable/results in the Student Portal

Deadline publication timetable
The date on which the timetable of this module is available: 13-10-2023

Deadline publication final result
The date on which the final grade of this module is available: 23-1-2024

Resit booking

Exam booking for a test in current academic year (resit)
You will be booked automatically for the resit in one of our resit periods. You may check our calenders to find out which modules can be retaken and when: https://intranet.maastrichtuniversity.nl/nl/fhml-studenten/studieverloop/wanneer-wat
As of one week before the resit test takes place, you can check in Student Portal if you are booked correctly: Student Portal > My Courses > More actions. The test will also be visible in your time table.

Exam booking for a test from a previous academic year (exam only)
All students who have not passed the test for this module in a previous academic year, will be booked automatically for the test during the regular block period. You will be enrolled in the new course in Canvas but not scheduled for a tutorial group and other educational activities. If you do not wish to participate in this test at the end of the regular block period please de-register via askFHML.

Resit date: 15-2-2024

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Course information

Description: EN:
The aim of this course is to educate students on the basics of 3D motion analysis and its clinical applications for the analysis and restoration of human locomotion. From a clinical perspective walking ability has been identified as a vital sign for health. The course uses a combination of classic PBL for knowledge and understanding of the principles and project education in the form of a clinical case to understand the potential application s of the field. These are supported by lectures on the basic concepts and practicals to acquire skills in the methods and approaches of the field. The focus of the course will be on human locomotion. The students will work with real anonymized patient data to solve their clinical question and they will report their findings to a multi-disciplinary team of experts. They will also gain experience in novel approaches for clinical motion analysis and treatment.  
Goals: EN:

Knowledge and understanding

•             Biomechanical principles of human locomotion: kinematics, kinetics, muscle function

•             Current concepts in gait restoration: Virtual Reality training, Assistive devices/Exoskeletons, Rehabilitation robotics & Prosthetics

•             Basics of signal processing in 3D Motion Capture; filtering, differentiation/integration

•             Statistical approaches to analyse complex biomechanical data

•             Basic research skills; e.g. formulating hypothesis

Applying knowledge and understanding

•             Choosing and adapting the appropriate technique to measure relevant aspects of human locomotion

•             Performing post-processing of motion analysis data •Report gait data in a comprehensive manner

•             Develop a testable hypothesis

Making judgements

•             Interpret the results of a gait analysis trial to assess functional deficits

•             Advice (clinical) experts on results of the analysis


•             Write a scientifically sound report for a clinical case

•             Orally present and communicate to/with (clinical) experts

Learning skills

•             Critically analyse and report gait data

•             Critically review research studies and the methodology applied

Key words: EN:
3D motion analysis, movement disorders
Literature: This is the link to Keylinks, our online reference list.  
Teaching methods:
  • Work in workgroup(s)
  • Lecture(s)
  • Paper(s)
  • Problem Based Learning
  • Presentation(s)
  • Research
  • Skills
Assessments methods:
  • Final paper
  • Presentation
  • Written exam

This page was last modified on:25-4-2023
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