Student Biomedical Engineering performs an EEG measurement on a patient.

Physiological Signals & Systems

Learn to measure, interpret and influence physiological signals of the human body in order to develop technological solutions for health problems in which physiological systems are dysfunctional.

Can you predict the chances of a coma patient’s recovery by measuring brain signals? What does it take to prevent elderly people with reduced balance and muscle strength from falling by giving them a warning sign? And how can you get insight into the pain system of people with chronic pain, in order to come up with effective treatment methods? To be able to answer any of these questions, you will need an in-depth understanding of the human physiological systems. If you’re eager to develop technological solutions for the prediction, diagnosis, therapy and/or prevention of health problems in which human physiological systems are dysfunctional (due to e.g. trauma or disease), the specialisation in Physiological Signals & Systems is the right choice for you.

Biomedical engineers specialised in physiological signals and systems have unique technological expertise in monitoring, evaluation and modulating key functions of the human body, inside and outside the hospital.

Jan Buitenweg, associate professor in the department of Biomedical Signals and Systems

What is Physiological Signals & Systems?

Within this specialisation, you will become skilled in measuring – and influencing – physiological signals of the human body in order to monitor body functions, measure the impact of (chronic) illness or trauma as well as the effect of treatment or a healthy lifestyle on physiological functions. You will deepen your understanding of the physical principles of electricity, magnetism, mechanics and fluids, as well as the anatomy and physiology of human functional systems of interest. These systems include the central nervous system, the cardiopulmonary system, the endocrine system and the human movement system.

Examples of courses you will follow during this specialisation:

  • Clinicians are well able to see that something’s wrong with a patient and use a clinical scale to quantify the severity of a dysfunction or disability. But in many cases, it’s not directly clear what is wrong and what would be the optimal treatment. The course Identification of Human Physiological Systems will teach you different approaches and techniques to get detailed insights into distorted physiological systems.
  • In the course Technology for Health, you will learn to analyse a healthcare problem and evaluate the potential impact of healthcare technology, and propose technology research for developing new concepts towards new solutions, beyond the present state of the art, including a technology transfer plan.
  • Measuring signals from the human body is not a straightforward task. In many cases, measurements are disturbed by unwanted influences from other processes. The course Advanced Techniques for Signal Analysis teaches you to reduce these influences in measuring physiological functions (e.g. evaluation of muscle fatigue, cardiac rhythms, epileptiform activity, etc.).

There’s a great variety of relevant and often complex challenges you can aim to solve within this specialisation. You might contribute to the development of deep brain stimulation techniques to treat tremor in people with Parkinson’s disease, detect sleep apnoea by monitoring a person’s breathing and oxygen levels, or come up with a solution to measure vital signs in daily life, using as few sensors as possible, for privacy and comfort reasons. Or what about minimising brain damage after a stroke? Your expertise enables you to translate new concepts into prototypes of medical devices, procedures or services that can be used in clinical practice or daily life for monitoring or restoration of physiological systems functionality and/or for supporting healthy behaviour and lifestyle. In fact; your work will be highly relevant for neurologists and neurosurgeons who will eventually use the technologies you have engineered. And more than impacting clinical practice, your work will improve the quality of life of people with chronic diseases or disabilities.

Background knowlegde

For the specialisation in Physiological Signals & Systems a strong foundation of Laplace, Fourier (in particular control systems), differential equations, signal analysis, control engineering, system differential equations, medical electronics, and neurophysiology is essential. Additional knowledge on Gauss and Stokes, network analysis, and sensors is not required but preferred. These examples provide insight into the types of background knowledge we typically expect from applicants. They are for illustrative purposes only and do not constitute a formal admission requirement or a guarantee of acceptance.

What will you learn?

In this specialisation, you focus on understanding and modelling physiological systems through signals and mathematical representations. You learn how physiological data can be used to monitor, interpret, and influence health and disease.

Knowledge

After completing this Master’s specialisation, you:

  • understand physiological systems and their dynamic behaviour;
  • understand physiological signal acquisition, processing, and interpretation;
  • understand modelling and control of biological systems;
  • can analyse and interpret signals for monitoring and clinical decision support.
Skills

After successfully finishing this Master’s specialisation, you:

  • can analyse complex biomedical challenges and translate them into engineering solutions;
  • can design, conduct, and critically evaluate experimental and/or computational research;
  • can integrate engineering, biomedical, and clinical knowledge in the development of healthcare technologies;
  • can communicate scientific and technical results to researchers, clinicians, and other stakeholders;
  • can work independently and collaboratively in multidisciplinary and international teams.
Values

After completing this Master’s specialisation, you:

  • are driven to improve healthcare and patient outcomes through engineering innovation;
  • consider ethical, societal, regulatory, and sustainability aspects in your work;
  • adopt a patient- and user-centred perspective in the development of technology;
  • demonstrate scientific curiosity, critical thinking, and commitment to lifelong learning.

Other master’s and specialisations

Is this specialisation not exactly what you’re looking for? Maybe one of the other specialisations suits you better. Or find out more about related Master’s: