Natasa Reljin
Cited by
Cited by
Monitoring of heart and breathing rates using dual cameras on a smartphone
Y Nam, Y Kong, B Reyes, N Reljin, KH Chon
PloS one 11 (3), e0151013, 2016
Screen-printed PEDOT: PSS electrodes on commercial finished textiles for electrocardiography
SK Sinha, Y Noh, N Reljin, GM Treich, S Hajeb-Mohammadalipour, Y Guo, ...
ACS applied materials & interfaces 9 (43), 37524-37528, 2017
Tidal volume and instantaneous respiration rate estimation using a volumetric surrogate signal acquired via a smartphone camera
BA Reyes, N Reljin, Y Kong, Y Nam, KH Chon
IEEE journal of biomedical and health informatics 21 (3), 764-777, 2016
Tracheal sounds acquisition using smartphones
BA Reyes, N Reljin, KH Chon
Sensors 14 (8), 13830-13850, 2014
Time-varying analysis of electrodermal activity during exercise
HF Posada-Quintero, N Reljin, C Mills, I Mills, JP Florian, JL VanHeest, ...
PloS one 13 (6), e0198328, 2018
Using support vector machines on photoplethysmographic signals to discriminate between hypovolemia and euvolemia
N Reljin, G Zimmer, Y Malyuta, K Shelley, Y Mendelson, DJ Blehar, ...
PloS one 13 (3), e0195087, 2018
Tidal volume estimation using the blanket fractal dimension of the tracheal sounds acquired by smartphone
N Reljin, BA Reyes, KH Chon
Sensors 15 (5), 9773-9790, 2015
Towards the development of a mobile phonopneumogram: automatic breath-phase classification using smartphones
BA Reyes, N Reljin, Y Kong, Y Nam, S Ha, KH Chon
Annals of biomedical engineering 44 (9), 2746-2759, 2016
Identifying and retrieving of audio sequences by using wavelet descriptors and neural network with user's assistance
V Dordevic, N Reljin, I Reljin
EUROCON 2005-The International Conference on" Computer as a Tool" 1, 167-170, 2005
Wearable armband device for daily life electrocardiogram monitoring
J Lázaro, N Reljin, MB Hossain, Y Noh, P Laguna, KH Chon
IEEE Transactions on Biomedical Engineering 67 (12), 3464-3473, 2020
Automatic classification of laser-induced breakdown spectroscopy (LIBS) data of protein biomarker solutions
D Pokrajac, A Lazarevic, V Kecman, A Marcano, Y Markushin, T Vance, ...
Applied spectroscopy 68 (9), 1067-1075, 2014
Incremental connectivity-based outlier factor algorithm
D Pokrajac, N Reljin, N Pejcic, A Lazarevic
Visions of Computer Science-BCS International Academic Conference, 211-223, 2008
Classification of LIBS protein spectra using support vector machines and adaptive local hyperplanes
T Vance, N Reljin, A Lazarevic, D Pokrajac, V Kecman, N Melikechi, ...
The 2010 International Joint Conference on Neural Networks (IJCNN), 1-7, 2010
Sleep deprivation in young and healthy subjects is more sensitively identified by higher frequencies of electrodermal activity than by skin conductance level evaluated in the …
HF Posada-Quintero, JB Bolkhovsky, N Reljin, KH Chon
Frontiers in physiology 8, 409, 2017
Performance of multilayer perceptrons for classification of LIBS protein spectra
D Pokrajac, T Vance, A Lazarević, A Marcano, Y Markushin, N Melikechi, ...
10th Symposium on Neural Network Applications in Electrical Engineering, 171-174, 2010
Brain activity correlates with cognitive performance deterioration during sleep deprivation
HF Posada-Quintero, N Reljin, JB Bolkhovsky, AD Orjuela-Cańón, ...
Frontiers in neuroscience 13, 1001, 2019
Feature extraction and classification of EEG sleep recordings in newborns
V Djordjevic, N Reljin, V Gerla, L Lhotska, V Krajca
2009 9th International Conference on Information Technology and Applications …, 2009
Small moving targets detection using outlier detection algorithms
N Reljin, S McDaniel, D Pokrajac, N Pejcic, T Vance, A Lazarevic, ...
Signal and Data Processing of Small Targets 2010 7698, 769804, 2010
Detection of moving objects using incremental connectivity outlier factor algorithm
N Pejčić, N Reljin, S McDaniel, D Pokrajac, A Lazarević
Proceedings of the 47th Annual Southeast Regional Conference, 1-6, 2009
Mild dehydration identification using machine learning to assess autonomic responses to cognitive stress
HF Posada-Quintero, N Reljin, A Moutran, D Georgopalis, ECH Lee, ...
Nutrients 12 (1), 42, 2020
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Articles 1–20