| 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 | 329 | 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 | 146 | 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 | 104 | 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 | 101 | 2020 |
| Challenges and issues in multisensor fusion approach for fall detection G Koshmak, A Loutfi, M Linden Journal of Sensors 2016 (1), 6931789, 2016 | 94 | 2016 |
| 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 | 91 | 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 | 90 | 2009 |
| 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 | 78 | 2020 |
| 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 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 | 70 | 2010 |
| 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 | 67 | 2016 |
| 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 | 55 | 2020 |
| 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 |
| A systematic review of wearable sensors for monitoring physical activity A Kristoffersson, M Lindén Sensors 22 (2), 573, 2022 | 46 | 2022 |
| Thrombolytic therapy MU Baig, J Bodle | 46* | 2020 |
| Evaluation of antidecubitus mattresses A Jonsson, M Lindén, M Lindgren, LÅ Malmqvist, Y Bäcklund Medical and Biological Engineering and Computing 43, 541-547, 2005 | 45 | 2005 |
| 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 | 43 | 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 | 43 | 2016 |
| 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: 16. NBC & 10. MTD …, 2015 | 37 | 2015 |
| Signal quality improvement algorithms for MEMS gyroscope-based human motion analysis systems: A systematic review J Du, C Gerdtman, M Lindén Sensors 18 (4), 1123, 2018 | 36 | 2018 |
Dr Hamid GholamHosseiniAssociate Professor, Auckland University of Technology在 aut.ac.nz 的电子邮件经过验证
