Narayan P. Subramaniyam
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Characterization of dynamical systems under noise using recurrence networks: Application to simulated and EEG data
NP Subramaniyam, J Hyttinen
Physics Letters A 378 (46), 3464-3474, 2014
Dynamics of intracranial electroencephalographic recordings from epilepsy patients using univariate and bivariate recurrence networks
NP Subramaniyam, J Hyttinen
Physical Review E 91 (2), 022927, 2015
Analysis of nonlinear dynamics of healthy and epileptic EEG signals using recurrence based complex network approach
NP Subramaniyam, J Hyttinen
2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 605-608, 2013
Signatures of chaotic and stochastic dynamics uncovered with ϵ-recurrence networks
NP Subramaniyam, JF Donges, J Hyttinen
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2015
Cortical potential imaging using L-curve and GCV method to choose the regularisation parameter
NP Subramaniyam, ORM Väisänen, KE Wendel, JAV Malmivuo
Nonlinear Biomedical Physics 4 (1), 1-11, 2010
Investigating the measurement capability of densely-distributed subdermal EEG electrodes
NP Subramaniyam, K Wendel, A Joutsen, J Hyttinen
2011 8th International Symposium on Noninvasive Functional Source Imaging of …, 2011
Waveform complexity: A new metric for EEG analysis
D Parameshwaran, NP Subramaniyam, TC Thiagarajan
Journal of neuroscience methods 325, 108313, 2019
Non-linear dynamical analysis of resting tremor for demand-driven deep brain stimulation
C Camara, NP Subramaniyam, K Warwick, L Parkkonen, T Aziz, E Pereda
Sensors 19 (11), 2507, 2019
Recurrence network analysis of wide band oscillations of local field potentials from the primary motor cortex reveals rich dynamics.
NP Subramaniyam, J Hyttinen, NG Hatsopoulos, K Takahashi
2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), 960-963, 2015
Tracking of dynamic functional connectivity from MEG data with Kalman filtering
F Tronarp, NP Subramaniyam, S Särkkä, L Parkkonen
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
Expectation–maximization algorithm with a nonlinear Kalman smoother for MEG/EEG connectivity estimation
NP Subramaniyam, F Tronarp, S Särkkä, L Parkkonen
EMBEC & NBC 2017, 763-766, 2017
Source localization based on ictal electroencephalographic recordings
NP Subramaniyam, J Peltola, JMA Tanskanen, K Wendel-Mitoraj, ...
International Symposium on Biomedical Engineering and Medical Physics, 10-12 …, 2013
Evaluating the electrode measurement sensitivity of subdermal electroencephalography electrodes
MR Mendes, NP Subramaniyam, K Wendel-Mitoraj
2015 7th International IEEE/EMBS Conference on Neural Engineering (NER …, 2015
Electrical fields of the sleep-related slow-wave EEG patterns in anaesthesia
V Jäntti, P Kauppinen, O Väisänen, K Wendel, N Subramaniyam, ...
British Journal of Anaesthesia 108 (2), 334-367, 2012
Causal coupling inference from multivariate time series based on ordinal pattern transition networks
NP Subramaniyam, RV Donner, D Caron, G Panuccio, J Hyttinen
arXiv preprint arXiv:2010.00948, 2020
Electroencephalographic signals during anesthesia recorded from surface and depth electrodes
V Jäntti, T Ylinen, NP Subramaniyam, K Kamata, A Yli-Hankala, ...
International journal of radiation biology 94 (10), 934-943, 2018
Electric field of EEG during anesthesia
V Jäntti, NP Subramaniyam, K Kamata, T Ylinen, A Yli-Hankala, ...
EMBEC & NBC 2017, 354-357, 2017
Abstracts of Presentations at the International Conference on Basic and Clinical Multimodal Imaging (BaCI), a Joint Conference of the International Society for Neuroimaging in …
BJ He, G Nolte, K Nagata, D Takano, T Yamazaki, Y Fujimaki, T Maeda, ...
Clinical EEG and neuroscience, 2013
Electrical fields of the sleep-related slow-wave EEG patterns in anaesthesia
V Jantti, P Kauppinen, O Vaisanen, K Wendel, N Subramaniyam, ...
Joint estimation of neural sources and their functional connections from MEG data
N Puthanmadam Subramaniyam, T Filip, S Simo, P Lauri
bioRxiv preprint ; …, 2020
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