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.
Embedded sensor systems for health - experiences from over nine years research in collaboration with industry and healthcare (Oct 2022) Maria Lindén, Annica Kristoffersson, Mats Björkman Medicinteknikdagarna 2022 (MTD 2022)
Dependability Evaluation of an Online Pupillometry-based Feedback System for Optimized Training (May 2022) Emil Carmegren, Elaine Åstrand, Ivan Tomasic 43rd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2020)
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)