Kies de Nederlandse taal
Course module: 201700071
Identification of Human Physiological Systems
Course infoSchedule
Course module201700071
Credits (ECTS)5
Course typeCourse
Language of instructionEnglish
Contact persondr. E.H.F. van Asseldonk
dr. E.H.F. van Asseldonk
Contactperson for the course
dr. E.H.F. van Asseldonk
Lecturer A.C. Schouten
Academic year2022
Starting block
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
The goal is that the student will be:
  1. able to translate human (patho)physiological control systems (muscle reflexes, controlling respiratory rate) into technical control system;
  2. able to design an optimal perturbation signal to identify unknown system dynamics;
  3. able to identify a nonparametric model of the physiological system from recorded signals
  4. able to estimate parameters for a physical model describing the nonparametric model.
Distorted physiological control systems underlie various impairments in motor control, respiration and cardiovascular function. For instance, a hyperactive control loop to regulate muscle length is the underlying cause for spasticity. Clinicians are perfectly able to see that something is wrong and can use available clinical scales to quantify the severity of the impairment or disability. However, they are much less able to see what is wrong. System identification techniques make it possible to characterize the distorted physiological control systems for various conditions in a standardized way. In this course, we will cover different approaches and techniques to be able to identify a linear system. The addressed topics vary from correlation functions, identification in the frequency and time domain, open and closed loop system identification, perturbation signal design and parameter estimation and optimization. In the course we will focus on distorted human motor control. Yet, the learned methods and techniques can be applied to a wide range of physiological and technical systems.

For three assignments, a report needs to be hand in and a digital test needs to be made. The report contributes 1/2 to the assignment grade and the digital test 1/2. Each of these assignments contribute 30% to the final grade. The final assignment will be graded based on a presentation and contributes to 10% to the final grade. The grade of this last assignment and the total grade must be sufficient (>=5.5). If one of these grades is not sufficient the student gets an oral exam. The grade of this oral exam will be the final grade for the course and so will replace all previously obtained grades for the assignments.
Assumed previous knowledge
* Bachelor TM students need permission of the HKC committee / Examination committee TM and must have completed the modules "Regelsystemen in de Mens” and “De bewegende mens”

(Strongly) recommended:

• Advanced Techniques for Signal Analysis – 193810020
• Biological Control Systems - 193810010
Participating study
Master Mechanical Engineering
Participating study
Master Biomedical Engineering
Participating study
Master Technical Medicine
Participating study
Master Robotics
Required materials
Course material
Identification of nonlinear physiological systems, Westwick and Kearney, IEEE press. Online available via UT library
Course material
System Identification: A Frequency Domain Approach (2nd edition), Pintelon and Schoukens, Online available via UT library
Lecture notes and papers (available on Canvas)
Recommended materials
Instructional modes
Presence dutyYes

Presence dutyYes


Digital exams and Assignment(s

Kies de Nederlandse taal