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.
Toward digital inclusion of older adults in e-health (Oct 2023) Åsa Revenäs , Lars Ström , Antonio Cicchetti, Maria Ehn Universal Access in the Information Society (UAIS)
Towards multimodal boosting of motivation for fall-preventive physical activity in seniors (Jul 2023) Åsa Revenäs , Lars Ström , Antonio Cicchetti, Maria Ehn Digital Health (Digital Health)
Impact of Activities in Daily Living on Electrical Bioimpedance Measurements for Bladder Monitoring (Jul 2023) Abdelakram Hafid, Saad Abdullah, Maria Lindén, Annica Kristoffersson, Mia Folke 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS) (CBMS'23)
Machine Learning-Based Classification of Hypertension using CnD Features from Acceleration Photoplethysmography and Clinical Parameters (Jul 2023) Saad Abdullah, Abdelakram Hafid, Maria Lindén, Mia Folke, Annica Kristoffersson 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS) (CBMS'23)
PPGFeat: a novel MATLAB toolbox for extracting PPG fiducial points (Jun 2023) Saad Abdullah, Abdelakram Hafid, Mia Folke, Maria Lindén, Annica Kristoffersson
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)