Martin Ekström, Senior Lecturer


Ph.D. in Electronics, Mälardalen University, 2013. Thesis title Towards Predictable and Reliable Wireless Communication in Harsh Environments

Master of Science in Electronics, Mälardalen University, 2006

Martin Ekström is Senior lecturer in electronics, his main research is within Biomedical emebedded systems including wireless communication,hardware development and biomedical engineering.

He is currently involved in projects researching Neural engingering, humna detection using UWB and developement of platforms for biomedical application.

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Latest publications:

Inter- disciplinary and -sectorial cooperation for development of technology supporting behavioral change (Apr 2017)
Maria Ehn, Mattias Derneborg , Martin Ekström, Ann-Christine Johansson Johansson
Persuasive Technology XII, 2017 (Pers Tech 2017)

Experimental Comparison Study of UWB Technologies for Static Human Detection (Oct 2016)
Melika Hozhabri, Magnus Otterskog, Nikola Petrovic, Martin Ekström
IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB 2016) ( ICUWB 2016)

Walking Intensity Estimation with a Portable Pedobarography System (May 2016)
Per Hellström, Anna Åkerberg, Martin Ekström, Mia Folke
13th International Conference on Wearable Micro and Nano Technologies for Personalized Health (pHealth 2016)

Wearable Weight Estimation System (Oct 2015)
Per Hellström, Mia Folke, Martin Ekström
4th International Conference on Health and Social Care Information Systems and Technologies (HCIST 2015)

Intelligent Wireless Body Area Network System for Human Motion Analysis (Jun 2015)
Per Hellström, Lennie Carlén Eriksson, Jonatan Scharff Willners, Mia Folke, Martin Ekström
1st International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems (SPWID 2015)

A wireless low latency control system for harsh environments (Dec 2012)
Marcus Bergblomma, Martin Ekström, Mats Björkman, Mikael Ekström, Christer Gerdtman, Maria Lindén
IFAC/IEEE PDES 2012 International Conference

PhD students supervised as assistant supervisor:

Melika Hozhabri
Per Hellström