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]

Evaluating a Remote Health Monitoring Application Powered by Bluetooth (Jul 2019)
Maryam Vahabi, Hossein Fotouhi, Mats Björkman, Maria Lindén
11th International Conference on e-Health (e-Health'19)

A Neural Network for Stance Phase detection in smart cane users (Jun 2019)
Juan Rafael Caro-Romero , Joaquin Ballesteros, Francisco Garcia-Lagos , Francisco Sandoval
15th International Work-Conference on Artificial Neural Networks (IWANN'19)

Feature Selection of EEG Oscillatory Activity Related to Motor Imagery Using a Hierarchical Genetic Algorithm (Jun 2019)
Miguel Leon Ortiz, Joaquin Ballesteros, Jonatan Tidare, Ning Xiong, Elaine Åstrand
IEEE Congress on Evolutionary Computation (IEEE CEC'19)

A cane-based low-cost sensor to implement attention mechanisms in telecare robots (May 2019)
Joaquin Ballesteros, Alberto Tudela , Juan Rafael Caro-Romero , Cristina Urdiales
2019 International Conference on Robotics and Automation (ICRA'19)

Detection of Human Bodypart Abnormalities by Microwaves – A New Approach (May 2019)
Nikola Petrovic, Ivan Tomasic, Maria Lindén, Per Olov Risman
42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2019)

Discriminating EEG spectral power related to mental imagery of closing and opening of hand (Mar 2019)
Jonatan Tidare, Miguel Leon Ortiz, Ning Xiong, Elaine Åstrand
THe 9th International IEEE EMBS Conference of Neural Engineering (IEEE NER'19)

Maria Lindén, Professor

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