Biomedical Engineering

Focus:

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.

Project TitleStatus
CogTrack: Real-Time Cognitive Tracking as an Approach to Identify Substance Abuse active
Digitalization of HVDC grids by means of smart data discovery active
ecare@home active
Embedded Sensor Systems for Health Plus active
IEMI: Intelligent extraction of mental imagery during stroke rehabilitation active
Improving Accuracy of the Cardiac Stress Test by Applying Advanced Signal Processing Methods to an Embedded Sensor Setting active
ITS ESS-H Industrial Graduate School in Reliable Embedded Sensor Systems active
Algorithms & Protocols Enhancing Mobility Support in Wireless Sensor Networks Based on Bluetooth and Zigbee finished
Alternative input and control devices for disabled finished
CAMI - Artificially intelligent ecosystem for self-management and sustainable quality of life in AAL (Ambient Assisted Living) finished
Continuous monitoring of COPD patients finished
Development of a telemetric system for bioelectrical monitoring finished
ESS-H - Embedded Sensor Systems for Health Research Profile finished
Giraff + Combining social interaction and long term monitoring for promoting independent living finished
Innocare finished
Interaktiv teknik för långsiktigt stöd av fysisk aktivitet hos äldre finished
Investigation of needs and requirements related to monitoring of physical activity in daily life: A qualitative study of older adults' experiences from using activity bracelets finished
IPOS, Integrated Personal Health Optimizing System finished
Kompetensnav Inbyggda Sensorsystem för hälsa / Competence hub Embedded Sensor Systems for Health finished
LACTA - a new method to identify the lactate threshold finished
MAMACELL finished
Measurement system for prevention of pressure sores finished
Micro sensors for better health finished
Microwaves in biomedicine finished
NovaMedTech finished
NovaMedTech II finished
PEWIT finished
RALF3 - Software for Embedded High Performance Architectures finished
Respiratory monitoring and other clinical applications of measurements of carbon dioxide in expiratory air finished
Stabilizing control of electrical drives finished
Technology support for health promotive behavioural change finished
Wireless sensors for monitoring physiological parameters finished

[Show all publications]

Self-Adaptation of the Smart Cane platform (Dec 2019)
Inmaculada Ayala, Joaquin Ballesteros, Juan Rafael Caro-Romero , Mercedes Amor , Lidia Fuentes
13th International Conference on Ubiquitous Computing and Ambient ‪Intelligence (UCAmI)

Fasting reveals largely intact systemic lipid mobilization mechanisms in respiratory chain complex III deficient mice (Oct 2019)
Nikica Tomasic , Heike Kotarsky , Rejane de Oliveira Figueiredo , Eva Hansson , Matthias Mörgelin , Ivan Tomasic, Jukka Kallijärvi , Eskil Elmér , Matti Jauhiainen , Erik A. Eklund , Vineta Fellman
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (BBA - MBofD)

F-Formations for Social Interaction in Simulation Using Virtual Agents and Mobile Robotic Telepresence Systems (Oct 2019)
Sai Krishna Pathi , Annica Kristoffersson, Andrey Kiselev , Amy Loutfi
Multimodal Technologies and Interaction (MTI)

Estimating Optimal Placement for a Robot in Social Group Interaction (Oct 2019)
Sai Krishna Pathi , Annica Kristoffersson, Andrey Kiselev , Amy Loutfi
The 28th IEEE International Conference on Robot & Human Interactive Communication (IEEE Ro-Man 2019)

The Influence of Feedback Type in Robot-Assisted Training (Oct 2019)
Neziha Akalin , Annica Kristoffersson, Amy Loutfi
Multimodal Technologies and Interaction (MTI)

Using patch ECG monitors for remote health monitoring (Oct 2019)
Ivan Tomasic, Nikola Petrovic, Maria Lindén
Medicinteknikdagarna 2019 (MTD 2019)

Maria Lindén, Professor

Email: maria.linden@mdh.se
Room: U1-139
Phone: +46-21-101548