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Kyriaki Kostoglou
Kyriaki Kostoglou
Department of Electrical and Computer Engineering, McGill University
Verified email at mail.mcgill.ca - Homepage
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Cited by
Cited by
Year
Between-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure–flow relation: The CARNet study
ASS Meel-van den Abeelen, DM Simpson, LJY Wang, CH Slump, ...
Medical engineering & physics 36 (5), 620-627, 2014
732014
Classification and prediction of clinical improvement in deep brain stimulation from intraoperative microelectrode recordings
K Kostoglou, KP Michmizos, P Stathis, D Sakas, KS Nikita, GD Mitsis
IEEE Transactions on Biomedical Engineering 64 (5), 1123-1130, 2016
482016
Nonstationary multivariate modeling of cerebral autoregulation during hypercapnia
K Kostoglou, CT Debert, MJ Poulin, GD Mitsis
Medical engineering & physics 36 (5), 592-600, 2014
372014
Dynamic cerebral autoregulation reproducibility is affected by physiological variability
ML Sanders, JWJ Elting, A Caicedo, ED Gommer, S Van Huffel, ...
Frontiers in physiology 10, 461520, 2019
342019
Reproducibility of dynamic cerebral autoregulation parameters: a multi-centre, multi-method study
ML Sanders, JAHR Claassen, M Aries, E Bor-Seng-Shu, A Caicedo, ...
Physiological Measurement 39 (12), 125002, 2018
312018
A novel framework for estimating time-varying multivariate autoregressive models and application to cardiovascular responses to acute exercise
K Kostoglou, AD Robertson, B MacIntosh, GD Mitsis
IEEE Transactions on Biomedical Engineering, 2019
222019
Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?
JW Elting, ML Sanders, RB Panerai, M Aries, E Bor-Seng-Shu, A Caicedo, ...
PLoS One 15 (1), e0227651, 2020
212020
Dynamic cerebral autoregulation in young athletes following concussion
K Kostoglou, AD Wright, JD Smirl, K Bryk, P van Donkelaar, GD Mitsis
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
182016
Support vector machines for self-interference cancellation in mobile communication transceivers
C Auer, K Kostoglou, T Paireder, O Ploder, M Huemer
2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 1-6, 2020
142020
Cerebrovascular pulsatility during rest and exercise reflects hemodynamic impairment in stroke and cerebral small vessel disease
AD Robertson, S Atwi, K Kostoglou, NPLG Verhoeff, PI Oh, GD Mitsis, ...
Ultrasound in medicine & biology 45 (12), 3116-3127, 2019
132019
Mental state detection using riemannian geometry on electroencephalogram brain signals
SC Wriessnegger, P Raggam, K Kostoglou, GR Müller-Putz
Frontiers in Human Neuroscience 15, 746081, 2021
72021
Prediction of the Parkinsonian subthalamic nucleus spike activity from local field potentials using nonlinear dynamic models
K Kostoglou, KP Michmizos, P Stathis, D Sakas, KS Nikita, GD Mitsis
2012 IEEE 12th International Conference on Bioinformatics & Bioengineering …, 2012
72012
Root tracking using time-varying autoregressive moving average models and sigma-point Kalman filters
K Kostoglou, M Lunglmayr
EURASIP Journal on Advances in Signal Processing 2020, 16, 2020
62020
Modeling of multiple-input, time-varying systems with recursively estimated basis expansions
K Kostoglou, R Schondorf, GD Mitsis
Signal Processing 155, 287-300, 2019
52019
Directed connectivity analysis in people with spinal cord injury during attempted arm and hand movements
K Kostoglou, G Müller-Putz
ÖGBMT Jahrestatung 2021, 75-78, 2021
32021
Getting off track: Cortical feedback processing network modulated by continuous error signal during target-feedback mismatch
HS Pulferer, K Kostoglou, GR Müller-Putz
NeuroImage 274, 120144, 2023
22023
Using linear parameter varying autoregressive models to measure cross frequency couplings in EEG signals
K Kostoglou, GR Müller-Putz
Frontiers in Human Neuroscience 16, 915815, 2022
22022
Measuring spinal cord potentials and cortico-spinal interactions after wrist movements induced by neuromuscular electrical stimulation
M Wimmer, K Kostoglou, GR Müller-Putz
Frontiers in Human Neuroscience 16, 858873, 2022
22022
Mental state detection using Riemannian geometry on electroencephalogram brain signals (vol 15, 746081, 2021)
SC Wriessnegger, P Raggam, K Kostoglou, GR Mueller-Putz
FRONTIERS IN HUMAN NEUROSCIENCE 16, 2022
12022
Volatility Clustering in Medical Ultrasound Imaging and System Identification Based Deconvolution
K Kostoglou, C Wallinger, M Huemer
2019 IEEE International Ultrasonics Symposium (IUS), 1459-1462, 2019
12019
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