Maria Lindén
Maria Lindén
Professor in Health technology, Mälardalen University
Dirección de correo verificada de mdh.se
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Electrical characteristics of conductive yarns and textile electrodes for medical applications
L Rattfält, M Lindén, P Hult, L Berglin, P Ask
Medical & biological engineering & computing 45 (12), 1251-1257, 2007
1092007
A systematic review of wearable patient monitoring systems–current challenges and opportunities for clinical adoption
MM Baig, H GholamHosseini, AA Moqeem, F Mirza, M Lindén
Journal of medical systems 41 (7), 115, 2017
1072017
Blood flow measurements at different depths using photoplethysmography and laser Doppler techniques
S Bergstrand, LG Lindberg, AC Ek, M Lindén, M Lindgren
Skin research and technology 15 (2), 139-147, 2009
632009
Challenges and issues in multisensor fusion approach for fall detection
G Koshmak, A Loutfi, M Linden
Journal of Sensors 2016, 2016
582016
A technique based on laser Doppler flowmetry and photoplethysmography for simultaneously monitoring blood flow at different tissue depths
J Hagblad, LG Lindberg, AK Andersson, S Bergstrand, M Lindgren, AC Ek, ...
Medical & biological engineering & computing 48 (5), 415-422, 2010
552010
Evaluation of the android-based fall detection system with physiological data monitoring
GA Koshmak, M Linden, A Loutfi
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
532013
Laser-Doppler perfusion imaging of microvascular blood flow in rabbit tenuissimus muscle
M Linden, A Sirsjo, L Lindbom, G Nilsson, A Gidlof
American Journal of Physiology-Heart and Circulatory Physiology 269 (4 …, 1995
511995
Evaluation of antidecubitus mattresses
A Jonsson, M Lindén, M Lindgren, LÅ Malmqvist, Y Bäcklund
Medical and Biological Engineering and Computing 43 (5), 541-547, 2005
392005
An overview on the Internet of Things for health monitoring systems
MU Ahmed, M Björkman, A Čaušević, H Fotouhi, M Lindén
International Internet of Things Summit, 429-436, 2015
342015
A deep machine learning method for classifying cyclic time series of biological signals using time-growing neural network
A Gharehbaghi, M Lindén
IEEE transactions on neural networks and learning systems 29 (9), 4102-4115, 2017
302017
A novel approach for removing ECG interferences from surface EMG signals using a combined ANFIS and wavelet
S Abbaspour, A Fallah, M Lindén, H Gholamhosseini
Journal of Electromyography and Kinesiology 26, 52-59, 2016
262016
Red blood cell velocity and volumetric flow assessment by enhanced high-resolution laser Doppler imaging in separate vessels of the hamster cheek pouch microcirculation
H Golster, M Lindén, S Bertuglia, A Colantuoni, G Nilsson, F Sjöberg
Microvascular research 58 (1), 62-73, 1999
261999
Electrical properties of textile electrodes
L Rattfalt, M Chedid, P Hult, M Linden, P Ask
2007 29th Annual International Conference of the IEEE Engineering in …, 2007
242007
Evaluation of Enhanced High-Resolution Laser Doppler Imaging in anin VitroTube Model with the Aim of Assessing Blood Flow in Separate Microvessels
M Lindén, H Golster, S Bertuglia, A Colantuoni, F Sjöberg, G Nilsson
Microvascular research 56 (3), 261-270, 1998
241998
Dynamic Bayesian networks for context-aware fall risk assessment
G Koshmak, M Linden, A Loutfi
Sensors 14 (5), 9330-9348, 2014
232014
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
232011
Machine learning-based clinical decision support system for early diagnosis from real-time physiological data
MM Baig, HG Hosseini, M Lindén
2016 IEEE Region 10 Conference (TENCON), 2943-2946, 2016
192016
Evaluation of wavelet based methods in removing motion artifact from ECG signal
S Abbaspour, H Gholamhosseini, M Linden
16th Nordic-Baltic Conference on Biomedical Engineering, 1-4, 2015
192015
ECG Artifact Removal from Surface EMG Signal Using an Automated Method Based on Wavelet-ICA.
S Abbaspour, M Lindén, H Gholamhosseini
pHealth, 91-97, 2015
172015
Existence of tissue blood flow in response to external pressure in the sacral region of elderly individuals–using an optical probe prototype
S Bergstrand, T Länne, AC Ek, LG Lindberg, M Lindén, M Lindgren
Microcirculation 17 (4), 311-319, 2010
172010
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20