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Electromyography. 1st YEAR

- The student has a basic knowledge of electrophysiology and the background of electromyographical signals;
- the student has a basic knowledge of the different ways of collecting electromyograpical data in various fields of application;
- the student can choose the appropriate method for collecting and analyzing EMG data in a kinesiological study;
- the student knows the possibilities and limitations of EMG data;
- the student can interpret EMG data in relation to motor control, force and fatigue;
- the student can identify contamination in EMG data and know which methods to apply to reduce its effects.

Prof. dr. J.H. van Dieen

Dr. N. Dominici

Course Description

In this course, the students are introduced to the electrophysical background of electromyography (EMG). Subsequently, the course focuses on methodological aspects of EMG acquisition and analysis, addressing the potential of this method as well as its pitfalls.

Study Characteristics

  • Course Description & Study Characteristics

    Course Description

    In this course, the students are introduced to the electrophysical background of electromyography (EMG). Subsequently, the course focuses on methodological aspects of EMG acquisition and analysis, addressing the potential of this method as well as its pitfalls.

    Study Characteristics

    • Discipline: Human Movement Sciences: Sport, Exercise and Health (Research)
    • Type of education: lectures & seminars
    • Academic skill: N/A
    • Graduate School: N/A
    • Start date: TBD
    • End date: TBD
    • Minimum number of students: N/A
    • Maximum number of students: N/A
    • Admission criteria: Contact the course coordinator for information on admission criteria: prof. dr. J.H. van Dieen
    • Concluding assessment: N/A
    • Assessment type: N/A
    • With Certificate: N/A
    • Schedule info: The lectures introduce the following topics:
      • EMG amplitude estimation;
      • force regulation (motor unit recruitment and firing);
      • sources of variability of EMG data;
      • electrode types;
      • bio-electricity
      • volume conduction;
      • action potential propagation;
      • applications of EMG amplitude estimation;
      • applications of EMG frequency content estimation
      • optimisation of EMG acquisition and analysis.
        In the seminars questions of students and the exercises will be discussed.
    • Number of lessons: 10
    • Total course duration in hrs.: lectures 5 x 2 hours; seminars 4 x 1 and 1 x 2 hours
    • Sign up period: N/A
    • Anticipated hrs of study: N/A
    • Available to: PhD students VU (and VU RMA students)

Would you like to register or want to know more?

Please contact the course coordinator prof. dr. J.H. van Dieen:

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