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
CAMI - Artificially intelligent ecosystem for self-management and sustainable quality of life in AAL (Ambient Assisted Living) active
CogTrack: Real-Time Cognitive Tracking as an Approach to Identify Substance Abuse active
Continuous monitoring of COPD patients active
Digitalization of HVDC grids by means of smart data discovery active
ecare@home active
ESS-H - Embedded Sensor Systems for Health Research Profile 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
Development of a telemetric system for bioelectrical monitoring 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]

A Zirconia Cylindrical TM010 Cavity for Permittivity Measurements at 1 GHz (Sep 2018)
Nikola Petrovic, Per Olov Risman
2018 IEEE CAMA Conference on Antenna Measurement and Applications (CAMA 2018)

Arch-Trapped Propagation in Enclosed and Free Space Biological Objects (Sep 2018)
Per Olov Risman, Nikola Petrovic
2018 IEEE CAMA Conference on Antenna Measurement and Applications (CAMA 2018)

Enabling IoT based monitoring of patients' environmental parameters: Experiences from using OpenMote with OpenWSN and Contiki-NG (Jul 2018)
Ivan Tomasic, Kamelia Khosraviani , Peter Rosengren , Magnus Jörntén-Karlsson , Maria Lindén
41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO (2018))

The new IEC safety standard on magnetic nearfield emission (Jun 2018)
Per Olov Risman
World Congress on Medical Physics and Biomedical Engineering (IUPESM 2018)

Overview of microwave based diagnostics for breast tumours and strokes (Jun 2018)
Nikola Petrovic, Per Olov Risman
World Congress on Medical Physics and Biomedical Engineering (IUPESM 2018)

Electromyography signal analysis: Electrocardiogram artifact removal and classifying hand movements (Jun 2018)
Sara Abbaspour, Maria Lindén
World Congress on Medical Physics and Biomedical Engineering (IUPESM 2018)

Maria Lindén, Professor

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