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.


Division:

Division of Intelligent Future Technologies

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
ecare@home active
ESS-H - Embedded Sensor Systems for Health Research Profile active
IEMI: Intelligent extraction of mental imagery during stroke rehabilitation active
ITS ESS-H Industrial Graduate School in Reliable Embedded Sensor Systems active
Kompetensnav Inbyggda Sensorsystem för hälsa / Competence hub Embedded Sensor Systems for Health active
Technology support for health promotive behavioural change 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
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
Wireless sensors for monitoring physiological parameters finished

[Show all publications]

Signal processing to improve the MEMS sensor signal in a small embedded sensor system for health (Oct 2017)
Jiaying Du, Christer Gerdtman, Maria Lindén
Medicinteknikdagarna 2017 (MTD 2017)

Body Sensors and Electrocardiography (Aug 2017)
Roman Trobec , Ivan Tomasic, Aleksandra Rashkovska , Matjaž Depolli , Viktor Avbelj

Development of a MEMS-sensor based motion analysis system for human movement rehabilitation (Jul 2017)
Jiaying Du, Christer Gerdtman, Maria Lindén
International conference on movement: brain, body, cognition (Movement2017)

Data Flow and Collection for Remote Patients Monitoring: From Wireless Sensors through a Relational Database to a Web interface in Real Time (Jun 2017)
Ivan Tomasic, Nikola Petrovic, Hossein Fotouhi, Maria Lindén, Mats Björkman
Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC) (EMBEC & NBC 2017)

Curious, Thoughtful and Affirmative - Young Children’s Meanings of Participation in Healthcare Situations when using an Interactive Communication Tool (May 2017)
Anna Stålberg, Anette Sandberg , Thomas Larsson, Imelda Coyne , Maja Söderbäck
Journal of Clinical Nursing (JCN, 2017)

A signal processing algorithm for improving the performance of a gyroscopic head-borne computer mouse (May 2017)
Jiaying Du, Christer Gerdtman, Arash Ghareh Baghi, Maria Lindén
Biomedical Signal Processing and Control (BSPC)

Maria Lindén, Professor

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