Maria Lindén

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Citations	3227	1975
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Dr Hamid GholamHosseiniAssociate Professor, Auckland University of TechnologyVerified email at aut.ac.nz
Mats BjörkmanProfessor in Computer Communication, Mälardalen University, SwedenVerified email at mdh.se
Mirza Mansoor Baig, PhD, PMP, ITILSenior Solutions Specialist, Global Consumer Helath SolutionsVerified email at aut.ac.nz
Annica KristofferssonSenior Lecturer, School of Innovation, Design and Engineering, Mälardalen UniversityVerified email at mdu.se
Hossein Fotouhi (ORCID 0000-0001-5...Associate Professor, Mälardalen University (MDU)Verified email at mdu.se
Arash GharehbaghiAssociate Professor, Linköping UniversityVerified email at mdh.se
Ivan TomašićMälardalen UniversityVerified email at mdu.se
Amy LoutfiProfessor Computer Science, Machine Perception and Interaction Lab, Örebro UniversityVerified email at oru.se
Mobyen Uddin AhmedProfessor in Artificial Intelligence/Computer Science at Mälardalen University (MDH)Verified email at mdu.se
Farhaan MirzaAssociate Professor at Auckland University of TechnologyVerified email at aut.ac.nz
Gert NilssonWheelsbridge ABVerified email at glocalnet.net
Sara Abbaspour, Ph.D.Director of Research and DevelopmentVerified email at mgh.harvard.edu
Anna-Christina Ekprofessor i vårdvetenskapVerified email at liu.se
Jimmie HagbladVerified email at jimmiehagblad.se
Mikael EkströmFull professor, Mälardalen University, SwedenVerified email at mdh.se
Maryam VahabiMälardalen UniversityVerified email at mdu.se
Jiaying DuPhD in Electronics, Mälardalen UniversityVerified email at mdh.se
Sara BergstrandLinköping UniversityVerified email at liu.se
Aasia Abdul MoqeemResearcher at Auckland University of TechnologyVerified email at aut.ac.nz
Anne SoderlundProfessor in Physiotherapy with Behavioral Medicine approach, Mälardalen University, VästaråsVerified email at mdh.se

Maria Lindén

Professor in Health technology, Mälardalen University

Verified email at mdh.se

Biomedical Engineering Health technology Sensor system Signal processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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, 1-9, 2017	360	2017
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, 1251-1257, 2007	150	2007
Melanoma classification using a novel deep convolutional neural network with dermoscopic images R Kaur, H GholamHosseini, R Sinha, M Lindén Sensors 22 (3), 1134, 2022	147	2022
Evaluation of surface EMG-based recognition algorithms for decoding hand movements S Abbaspour, M Lindén, H Gholamhosseini, A Naber, M Ortiz-Catalan Medical & biological engineering & computing 58, 83-100, 2020	129	2020
Challenges and issues in multisensor fusion approach for fall detection G Koshmak, A Loutfi, M Linden Journal of Sensors 2016 (1), 6931789, 2016	104	2016
A comparative analysis of hybrid deep learning models for human activity recognition S Abbaspour, F Fotouhi, A Sedaghatbaf, H Fotouhi, M Vahabi, M Linden Sensors 20 (19), 5707, 2020	98	2020
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	98	2017
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	92	2009
A technique based on laser Doppler flowmetry and photoplethysmography for simultaneously monitoring blood flow at different tissue depths J Hagblad, LG Lindberg, A Kaisdotter Andersson, S Bergstrand, ... Medical & biological engineering & computing 48, 415-422, 2010	72	2010
A systematic review on the use of wearable body sensors for health monitoring: a qualitative synthesis A Kristoffersson, M Lindén Sensors 20 (5), 1502, 2020	71	2020
An overview on the internet of things for health monitoring systems MU Ahmed, M Björkman, A Čaušević, H Fotouhi, M Lindén Internet of Things. IoT Infrastructures: Second International Summit, IoT …, 2016	71	2016
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	71	2013
A systematic review of wearable sensors for monitoring physical activity A Kristoffersson, M Lindén Sensors 22 (2), 573, 2022	68	2022
Thrombolytic therapy MU Baig, J Bodle	65*	2020
Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images R Kaur, H GholamHosseini, R Sinha, M Lindén BMC Medical Imaging 22 (1), 103, 2022	52	2022
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	52	1995
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	48	2016
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	47	2016
Evaluation of antidecubitus mattresses A Jonsson, M Lindén, M Lindgren, LÅ Malmqvist, Y Bäcklund Medical and Biological Engineering and Computing 43, 541-547, 2005	46	2005
The role of smart homes in intelligent homecare and healthcare environments LV Moreno, MLM Ruiz, JM Hernández, MÁV Duboy, M Lindén Ambient assisted living and enhanced living environments, 345-394, 2017	44	2017

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