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Martin Ekstrom
Martin Ekstrom
Senior lecturer Electronics, Mälardalen University
Verified email at mdh.se - Homepage
Title
Cited by
Cited by
Year
A bluetooth radio energy consumption model for low-duty-cycle applications
MC Ekstrom, M Bergblomma, M Lindén, M Bjorkman, M Ekstrom
IEEE Transactions on Instrumentation and Measurement 61 (3), 609-617, 2011
272011
Small wireless ECG with Bluetooth communication to a PDA
M Ekstrom
MS thesis, Dept. Comput. Sci. Electron., Malardalen Univ., 2006
232006
Wearable weight estimation system
P Hellstrom, M Folke, M Ekström
Procedia Computer Science 64, 146-152, 2015
192015
Walking intensity estimation with a portable pedobarography system
PAR Hellstrom, A Åkerberg, M Ekström, M Folke
pHealth 2016, 27-32, 2016
82016
Bluetooth energy characteristics in wireless sensor networks
MLME M. Blom, Martin Ekstrom, J. G. Castano
3rd International Symposium on Wireless Pervasive Computing, pp. 198-20, 2008
82008
Evaluation of the IngVaL pedobarography system for monitoring of walking speed
PAR Hellstrom, A Åkerberg, M Ekström, M Folke
Healthcare Informatics Research 24 (2), 118, 2018
62018
Trajectory tracking and stabilisation of a riderless bicycle
N Persson, M Ekström, M Ekström, A Papadopoulos
24th IEEE International Conference on Intelligent Transportation 2021, 2021
52021
A Comparative Analysis and Design of Controllers for Autonomous Bicycles
N Persson, T Andersson, A Fattouh, M Ekström, A Papadopoulos
20th European Control Conference 2021, 2021
42021
A loop shaping method for stabilising a riderless bicycle
T Andersson, N Persson, A Fattouh, MC Ekström
2019 European Conference on Mobile Robots (ECMR), 1-6, 2019
42019
Non-invasive respiratory monitoring using long-period fiber grating sensors
M Folke, L Cernerud, M Ekström, B Hok
Med. Biol. Eng. Comput. 41, 377-383, 2003
42003
Extraction of working memory load and the importance of understanding the temporal dynamics
E Astrand, M Ekström
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), 641-647, 2017
32017
Experimental comparison study of UWB technologies for static human detection
M Hozhabri, M Otterskog, N Petrovic, M Ekström
2016 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB), 1-4, 2016
32016
Wireless ecg network
M Bergblomma, MC Ekström, M Ekström, JG Castaño, M Björkman, ...
World Congress on Medical Physics and Biomedical Engineering, September 7-12 …, 2009
32009
Evaluation of closed-loop feedback system delay a time-critical perspective for neurofeedback training
J Tidare, E Åstrand, MC Ekström
11th International Conference on Biomedical Electronics and Devices …, 2018
22018
Towards Predictable and Reliable Wireless Communication in Harsh Environments
M Ekström
Mälardalen University, 2013
22013
Comparison study of ZigBee and Bluetooth with regards to power consumption, packet-error-rate and distance
M Ekström, M Bergblomma, M Lindén, M Björkman, M Ekström
22012
On the Initialization Problem for Timed-Elastic Bands
N Persson, MC Ekström, M Ekström, AV Papadopoulos
IFAC-PapersOnLine 56 (2), 11802-11807, 2023
12023
Intelligent wireless body area network system for human motion analysis
PAR Hellstrom, L Carlén Eriksson, J Scharff Willners, M Folke, M Ekström
SPWID 2015, The First International Conference on SmartPortable, Wearable …, 2015
12015
A wireless low latency control system for harsh environments
M Bergblomma, MC Ekström, M Björkman, M Ekström, C Gerdtman, ...
IFAC Proceedings Volumes 45 (7), 17-22, 2012
12012
Evaluation of Closed-loop Feedback System Delay
J Tidare, E Astrand, M Ekström
2018
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