The research within the Biomedical Engineering group focuses on reliable non-invasive physiological data acquisition and signal processing. The aim is to find solutions to real problems and the projects are performed in close collaboration with the public sector.
The Biomedical engineering group´s research is focused towards multisensor systems for measurements of physiological parameters. The systems are developed to be wearable, also including artificial intelligence and wireless communication to enable free mobility.
Gray Literature in Evaluating Effectiveness in Digital Health and Health and Welfare Technology (Mar 2022) Sara Landerdahl Stridsberg , Matt Richardson , Ken Redekop , Maria Ehn, Sarah Wamala Andersson Journal of Medical Internet Research (JMIR)
A Systematic Review of Wearable Sensors for Monitoring Physical Activity (Jan 2022) Annica Kristoffersson, Maria Lindén Sensors (Sensors)
Do you feel safe with your robot? Factors influencing perceived safety in human-robot interaction based on subjective and objective measures (Nov 2021) Neziha Akalin , Annica Kristoffersson, Amy Loutfi International Journal of Human-Computer Studies (IJHCS)
Retro-Modelling Technique for Permittivity Measurements in the Range from 2.2 to 2.6 GHz for Medical Applications (Nov 2021) Christoph Salomon, Nikola Petrovic, Per Olov Risman 2021 IEEE International Conference on Antenna Measurements and Applications (2021 IEEE CAMA)
State-Space versus Linear Regression Models between ECG Leads (Nov 2021) Ivan Tomasic, Roman Trobec, Maria Lindén 44th International Convention on Information, Communication and Electronic Technology (MIPRO) (MIPRO 2021)
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)