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.
State of the Art of Non-Invasive Technologies for Bladder Monitoring: A Scoping Review (Mar 2023) Abdelakram Hafid, Sabrina Difallah , Camilla Alves , Saad Abdullah, Mia Folke, Maria Lindén, Annica Kristoffersson Sensors (MDPI Sensors)
A Novel Fiducial Point Extraction Algorithm to Detect C and D Points from the Acceleration Photoplethysmogram (CnD) (Feb 2023) Saad Abdullah, Abdelakram Hafid, Mia Folke, Maria Lindén, Annica Kristoffersson Electronics (MDPI Electronics)
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)