Maria Lindén, Professor


My research profile falls within the area Health Technology, including Biomedical Sensor Systems and Signal Pro­cessing. I am particularly working with design, implementation and evaluation of non-invasive sensor systems for registration of physiological parameters as ECG, motion analysis, and blood flow measurements. This also includes signal processing. One of the driving forces for me is to find solutions to real problems, which prerequisites direct contact and dialog with the intended end-users of the systems. I am the leader of the research profile Embedded Sensor Systems for Health (ESS-H).

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Latest publications:

Inbyggda Sensorsystem för hälsa - teknik som stödjer trendmonitorering i hemmet (Oct 2018)
Maria Lindén, Mats Björkman
Medicinteknikdagarna 2018 (MTD 2018)

IPv6 connectivity in eHealth IoT networks (Oct 2018)
Hossein Fotouhi, Maryam Vahabi, Ivan Tomasic, Nikola Petrovic, Mats Björkman, Maria Lindén
Medicinteknikdagarna 2018 (MTD 2018)

IoT enabled monitoring of patients’ environmental parameters supported by OpenWSN, OpenMote, and relational databases (Oct 2018)
Ivan Tomasic, Nikola Petrovic, Hossein Fotouhi, Mats Björkman, Maria Lindén
Medicinteknikdagarna 2018 (MTD 2018)

The development and usability evaluation of an interactive health technology solution, for encouragement of physical activity in inactive adults, based on the user perspective (Aug 2018)
Anna Åkerberg, Anne Söderlund, Maria Lindén
Journal of technology in behavioral science (JTBS)

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))

Embedded Sensor Systems for Health – A Step Towards Personalized Health (Jun 2018)
Maria Lindén, Mats Björkman
15th International Conference on Wearable, Micro & Nano technologies for Personalized Health (pHealth2018)