Dit vak wordt in het Engels aangeboden. Omschrijvingen kunnen daardoor mogelijk alleen in het Engels worden weergegeven.
Doel vakIn this course, the student will become familiar with measurement
techniques and methods frequently used to measure physical quantities in
human movement sciences. The student will also learn how to use Matlab
to process the obtained data, report on the methods and results, and
interpret their measurement outcomes.
Intended learning outcomes:
1. To gain knowledge of common principles in signal processing.
2. To gain knowledge of the common function, applicability and
limitations of measurement tools often used for measuring movement in
human movement science. Specifically: Optotrak, force plates, and
3. To be able to select the appropriate measurement set-up and
parameters to answer a given research question.
4. To be able to operate common measurement tools in human movement
5. To be able to process data collected with the designated measurement
tools using Matlab.
6. To be able to present the used method, and interpret and present the
results of the measurement outcomes.
7. To be able to critically evaluate the accuracy and validity of the
Inhoud vakWithin human movement sciences a large set of measurement techniques and
methods is available, ranging from a more psychosocial towards a
biomechanical approach. This course will only cover some of the most
frequently used techniques from the more biomechanical approach to
answer scientific questions related to human movement. The following
techniques will be addressed specifically: measuring kinematic
quantities with Optotrak, measuring forces with a force plate, and
measuring muscle activity with electromyography (EMG).
A large part of this course consists of general methods and techniques
that apply to the measurement of almost all physical signals, or the
processing of these signals into meaningful quantities. Students will
learn how to perform measurements with the aforementioned equipment, and
how to process the acquired signals using Matlab. Lastly, students will
learn to analyze the reliability and precision of the given methods and
to make a sound judgment as to the adequacy and limitations of a given
measurement method to solve a problem.
- Lectures and question hours (16 hour, not obligatory)
- Practicals (20 hours, data collection part is obligatory, analysis
part is highly recommended)
- Practical presentation sessions (5 hours, highly recommended)
Self-study: approximately 125 hours (preparation of lectures and
practicals, exercises, reading the syllabus, exam preparation)
ToetsvormThe grade for this course will be based on a written exam at the end of
this course. The grade will only be registered for students who were
present at the data collection parts of all three practicals. The exam
will cover all study material mentioned in the course schedule, lecture
sheets, and content of the practicals, and will consist of open-ended
and multiple choice questions. Part of the exam will be done using
Matlab. Apart from testing knowledge and application of knowledge the
exam will also test skills that are practiced by making the exercises
and the practical assignments. The exam will last 2 hours and 15
minutes. Students with dyslexia are allowed an additional 30 minutes for
Vereiste voorkennisKnowledge and understanding of basic mathematics and biomechanics, and
basic Matlab programming skills are a prerequisite for this course.
ABC of EMG (Canvas)
Practical assignments (Canvas)
Lecture sheets (Canvas)
DoelgroepThe course is part of the Premaster program of Human Movement Sciences
of the Faculty of Behavioral and Movement Sciences.
Overige informatieOrganization of the course
Lectures and question hours
Together with the syllabus, the lectures will provide a theoretical
background of common principles in measuring movement and signal
processing, and prepare the students for the practical assignments. The
lectures are not intended as a complete overview of the exam material
but are aimed at complementing and/or clarifying material from the book
or syllabus. Therefore, preparation before the lectures is essential.
Preparatory material for the lectures can be found in the course
schedule that can be found on Canvas in due time. Lecture slides will be
posted on Canvas. At the end of each week, there will be a question hour
reserved for remaining questions regarding the syllabus exercises or
syllabus chapters of that week. In the last week prior to the exam there
will be a final question hour. Questions for this final question hour
have to be handed in two days in advance. If no questions are handed in,
this final question hour will be cancelled.
There will be 3 practical assignments in this course regarding: Movement
registration, Force plate, and EMG. Each practical assignment consists
of a data collection part, and a data processing & analysis part. The
data collection part is obligatory, the processing and analysis part is
not, but is highly recommended. The data collection part is done in
groups and each group has its own schedule, see rooster.vu.nl. The
Practical Assignments can be found on Canvas in due time. The practical
assignments will start out more or less as a step-by-step recipe, but
will rely more and more on student independence towards the final
Practical presentation sessions
After each practical, there will be a presentation session at the end of
the week in which several students will be (randomly) selected to
present a part of the practical assignment, after which the methods and
results will be discussed among the group. The aim of the presentation
sessions is to provide feedback regarding the data collection, data
analysis, results and conclusions of the practical assignments. It is
not a test but an opportunity to learn together and a good preparation
for the questions regarding the practical assignments in the final exam.
Requirements to come to the presentation sessions
Students are only allowed to come to the presentation sessions if they
are prepared to give a presentation concerning their data collection,
data analysis, results and answer to the research question of the
concerning practical assignment (or if they ask a question concerning an
incomplete part at the start of the session). Each student should bring
his/her own data and Matlab-code on a pen drive (USB-stick). Concerning
data collection, the presentation should address the choices that were
made, in such a way that someone else can replicate the measurements,
and the reasons why these choices were made. A PowerPoint or picture can
be used to support the presentation, but is not required. Concerning
data analysis the presentation should include the Matlab-code that was
used to analyze the data and the explanation of this code. Concerning
the results and answer to the research question the presentation should
include the results (e.g. a figure) and an interpretation/explanation of
what the results mean leading to a preliminary answer to the research
question. Data analysis and the results will be directly presented from
Matlab (no need for fancy PowerPoints). Students can use their log or
their own written report of the practical assignment during the
Organization of the presentation sessions
Each session will start with the opportunity to ask questions regarding
the practical assignment of that week. Next several persons, of
different groups, will be pointed out to present their data collection
for a specific part of the assignment. The other students, under the
guidance of a teacher, will discuss their input. Next, this process is
repeated for the data analysis and the results and preliminary answer to
the research question. For each presentation another student is pointed
Mistakes in presentations
The presentation sessions are not used for grading, but do prepare you
for the final exam. It is therefore not a problem if there is a mistake
in your presentation. Mistakes may lead to interesting group
discussions, which are valuable for all. Since the presentations are a
great change to receive personal feedback in order to improve, it is
recommended to volunteer to present a specific topic for which you are
not sure about your choices/code/interpretation.
Afwijkende intekenprocedureFor additional info on practical groups etc. please see the Course Manual and Course Schedual on Canvas.
|Faculteit||Fac. der Gedrags- en Bewegingswetensch.|
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|Werkvormen||Hoorcollege, Computerpracticum, Practicum|
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