The research profile Embedded Sensor Systems for Health

Embedded Sensor Systems for Health (ESS-H) is a research profile which develops health technology and has being conducted between 2013 and 2019. The Swedish Knowledge Foundation, MDH and a number of companies have altogether invested 84 million SEK for the Mälardalen region to have a nationally leading and an internationally competitive research environment. This profile has received an extension of a further three years, granted by the Swedish Knowledge Foundation, with the name of ESS-H+.

In this six-year research profile, ESS-H, the University, together with some ten companies as well as municipalities and county councils, has developed sensor systems that promote health. The sensor systems monitor and track the health status among the elderly in their home environment, but also monitor professional drivers and machine operators, thereby attaining a safer work environment. 

ESS-H is a strategic venture at Mälardalen University which belongs to the research direction of Embedded Systems. Here the research profile has created an increased focus on health technology applications of embedded systems, in particular within the profile’s core areas of sensor systems, signal processing and decision support.

Area of focus

The sensor system for health monitoring at home

This focus area deals with the collection of data, signal processing and decision support of physiological data captured in the home. The idea here is that the system shall be used by elderly people with multi-illnesses (e.g. heart diseases, COPD and diabetes). The collection of data can be used for direct feedback or for tracking health trends over a longer period. The idea is to help people towards a healthier lifestyle and early on to detect deteriorated states of health.

Presentation of focus area I (pdf 13.4 MB)

Sensor systems for health at work

This area of focus deals with the collection of data, signal processing and decision support in various types of work environments where measurement can often be difficult.

Presentation of focus area II (pdf 2.4 MB)

Infrastructure for physiological data management

This focus area deals with communication taking place in a safe and secure way, which means that bugging cannot be possible and that data arrives where it should. Also the integrity of the patient is protected. Within this area the transport of data between sensors, gateways, servers and storage disks are examined, as well as the interfaces between the various net actors.

Presentation of focus area III (pdf 1015 kB)


Below are presented examples of results during the period 2013-2019:

  • 50 journal publications, 163 conference publications, 12 book chapters/books, 6 PhD theses, 7 Licentiate theses, 12 books/chapters, 5 patents, 6 doctoral theses and 7 licentiate theses, and 5 patents.
  • The number of researchers at MDH in health technology has increased from 9 to 25.
  • 8 new professors in health technology have joined us
  • Co-productive research with 10 companies
  • An industrial research school with 10 doctoral students has been started (ITS ESS-H).

This venture has obtained international and national recognition, for example through invitations to recognised international conferences and awards of international and national scholarship prizes.


On March 26 2019, MDH organized a workshop to present the research results of ESS-H. Topics and speakers: 

  • AI and machine learning in healthcare, Mobyen Uddin Ahmed, Mälardalen University
  • Smartphone app for encouragement of physical activity, Anna Åkerberg, Mälardalen University
  • Reliable communication for remote monitoring using embedded sensor systems, Hossein Fotouhi, Mälardalen University
  • ECG measurements using embedded sensor systems, Ivan Tomasic, Mälardalen University
  • Technology development from a user perspective, Ann-Louise Lindborg, Camanio Care
  • Overview of microwave based diagnostics for breast tumours and strokes, Nikola Petrovic, Mälardalen University
  • Breath alcohol detection, Jonas Ljungblad, Senseair