Maria Ehn, Researcher



Maria received a PhD in Biotechnology from the Royal Institute of Technology (KTH), Stockholm in 2003 and has worked as a scientist at the Structural Genomics Consortium hosted by Karolinska Institute, Stockholm. She joined Mälardalen University in 2006 and has been working in the field of Health Technology since 2011.

She is currently a principal investigator of a sub-project on sensor systems for fall risk assessment within the research profile ESS-H+. Maria has also been the responsible researcher for a number of research projects fucusing on user-centered development of a digital support system for seniors' fall preventive physical activity. She has worked in the innovation cluster Robotdalen managing projects related to health technology, mainly systems supporting home-based stroke rehabilitation. The mentioned projects are/have beeen executed in collaboration with reseachers from different fields, end users, health care organizations, industrial partners and public authorities. 

Maria Ehn is researcher at the School of Innovation, Design and Engineering in Mälardalen University.

Her research interests include methods for integrating end-users' needs and perspectives in development and testing of new solutions in the Health Technology. Current research focuses on technology for fall prevention among seniors including digital motivation support for fall preventive physical activity. She is interested in interdisciplinary research in collaboration with end users, stakeholders and industrial partners.

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Latest publications:

Mobile Safety Alarms Based on GPS Technology in the Care of Older Adults (Oct 2021)
Maria Ehn, Matt Richardson , Sara Landerdahl Stridsberg , Ken Redekop , Sarah Wamala Andersson
Journal of Medical Internet Research (JMIR)

User-centered requirements engineering to manage the fuzzy front-end of open innovation in e-health (Sep 2021)
Maria Ehn, Mattias Derneborg , Åsa Revenäs , Antonio Cicchetti
International journal of medical informatics (Int J Med Inform)

Performance and Characteristics of Wearable Sensor Systems Discriminating and Classifying Older Adults According to Fall Risk: A Systematic Review (Aug 2021)
Annica Kristoffersson, Jiaying Du, Maria Ehn
Sensors, SI: Sensor Technology for Fall Prevention (Sensors)

Nocturnal digital surveillance in aged populations and its effects on health, welfare and social care provision (Jun 2021)
Matt Richardson , Maria Ehn, Sara Landerdahl Stridsberg , Ken Redekop , Sarah Wamala Andersson
BMC Health Services Research (BMC H Serv Res)

Integrating Key User Characteristics in User-Centered Design of Digital Support Systems for Seniors’ Physical Activity Interventions to Prevent Falls (Dec 2020)
Åsa Revenäs , Ann-Christin Johansson , Maria Ehn
JMIR Research Protocols (JMIR Res Protoc)

Technology-Based Motivation Support for Seniors’ Physical Activity (Jul 2019)
Maria Ehn, Ann-Christin Johansson , Åsa Revenäs
International Journal of Environmental Research and Public Health (IJERPH)

PhD students supervised as assistant supervisor:

Sara Abbaspour (former)