Natasa Reljin
TitleCited byYear
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), 2016
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
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
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
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
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
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
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), 2018
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
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
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), 2018
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
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
Identification of fundamental heart sounds from PCG using blanket fractal dimension
MP Paskaš, AM Gavrovska, NB Reljin
2014 8th Conference of the European Study Group on Cardiovascular …, 2014
Music performers classification by using multifractal features: a case study
N Reljin, D Pokrajac
Archives of Acoustics 42 (2), 223-233, 2017
Employing an incentive spirometer to calibrate tidal volumes estimated from a smartphone camera
BA Reyes, N Reljin, Y Kong, Y Nam, S Ha, KH Chon
Sensors 16 (3), 397, 2016
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Articles 1–20