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Root tracking using time-varying autoregressive moving average models and sigma-point Kalman filters

EURASIP journal on advances in signal processing, 2020-02, Vol.2020 (1), p.1-16, Article 6

2020

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Getting off track: Cortical feedback processing network modulated by continuous error signal during target-feedback mismatch

NeuroImage (Orlando, Fla.), 2023-07, Vol.274, p.120144-120144, Article 120144

2023

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Using linear parameter varying autoregressive models to measure cross frequency couplings in EEG signals

Frontiers in human neuroscience, 2022-09, Vol.16, p.915815-915815

2022

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Videoconference fatigue from a neurophysiological perspective: experimental evidence based on electroencephalography (EEG) and electrocardiography (ECG)

Scientific reports, 2023-10, Vol.13 (1), p.18371-18371, Article 18371

2023

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Measuring Spinal Cord Potentials and Cortico-Spinal Interactions After Wrist Movements Induced by Neuromuscular Electrical Stimulation

Frontiers in human neuroscience, 2022-03, Vol.16, p.858873-858873

2022

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Mental State Detection Using Riemannian Geometry on Electroencephalogram Brain Signals

Frontiers in human neuroscience, 2021-11, Vol.15, p.746081-746081

2021

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Corrigendum: Mental State Detection Using Riemannian Geometry on Electroencephalogram Brain Signals

Frontiers in human neuroscience, 2022-02, Vol.16, p.861120-861120

2022

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Towards Implantable Brain-Computer Interface for Communication in Locked-In Syndrome patients

Current directions in biomedical engineering, 2023-12, Vol.9 (2), p.1-4

2023

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Dynamic Cerebral Autoregulation Reproducibility Is Affected by Physiological Variability

Frontiers in physiology, 2019-07, Vol.10, p.865-865

2019

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Modeling of multiple-input, time-varying systems with recursively estimated basis expansions

Signal processing, 2019-02, Vol.155, p.287-300

2019

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Point/counterpoint: We should not take the direction of blood pressure change into consideration for dynamic cerebral autoregulation quantification

Journal of cerebral blood flow and metabolism, 2022-12, Vol.42 (12), p.2354-2356

2022

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Classification and Prediction of Clinical Improvement in Deep Brain Stimulation From Intraoperative Microelectrode Recordings

IEEE transactions on biomedical engineering, 2017-05, Vol.64 (5), p.1123-1130

2017

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IEEE_Xplore

Nonstationary multivariate modeling of cerebral autoregulation during resting state and hypercapnia (1184.10)

The FASEB journal, 2014-04, Vol.28 (S1), p.n/a

2014

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Time-domain methods for quantifying dynamic cerebral blood flow autoregulation: Review and recommendations. A white paper from the Cerebrovascular Research Network (CARNet)

Journal of cerebral blood flow and metabolism, 2024-04, p.271678X241249276-271678X241249276

2024

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Towards Implantable Brain-Computer Interface for Communication in Locked-In Syndrome patients: An introduction to INTRECOM

Current directions in biomedical engineering, 2023-12, Vol.9 (2), p.1-4

2023

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ECG Morphological Changes Due to Age and Heart Rate Variability

Computer Aided Systems Theory – EUROCAST 2019, p.323-330

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Identification of Multiple-Input, Linear and Nonlinear, Time-Varying Systems and Binary Response Systems for Biomedical Applications

Kostoglou, Kyriaki

2018

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ProQuest

Prediction of the Time to Syncope Occurrence in Patients Diagnosed with Vasovagal Syncope

Intracranial Pressure & Neuromonitoring XVI, p.313-316

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Cerebrovascular Pulsatility During Rest and Exercise Reflects Hemodynamic Impairment in Stroke and Cerebral Small Vessel Disease

Ultrasound in medicine & biology, 2019-12, Vol.45 (12), p.3116-3127

2019

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Nonstationary multivariate modeling of cerebral autoregulation during hypercapnia

Medical engineering & physics, 2014-05, Vol.36 (5), p.592-600

2014

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A Linear Parameter Varying ARX Model for Describing Biomedical Signal Couplings

Computer Aided Systems Theory – EUROCAST 2019, p.339-346

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Volatility Clustering in Medical Ultrasound Imaging and System Identification Based Deconvolution

2019 IEEE International Ultrasonics Symposium (IUS), 2019, p.1459-1462

2019

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Identification of Time-Varying Cortico-cortical and Cortico-Muscular Coherence during Motor Tasks with Multivariate Autoregressive Models

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, Vol.2018, p.1024-1021

2018

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Root tracking using time-varying autoregressive moving average models and sigma-point Kalman filters

Getting off track: Cortical feedback processing network modulated by continuous error signal during target-feedback mismatch

Using linear parameter varying autoregressive models to measure cross frequency couplings in EEG signals

Videoconference fatigue from a neurophysiological perspective: experimental evidence based on electroencephalography (EEG) and electrocardiography (ECG)

Measuring Spinal Cord Potentials and Cortico-Spinal Interactions After Wrist Movements Induced by Neuromuscular Electrical Stimulation

Mental State Detection Using Riemannian Geometry on Electroencephalogram Brain Signals

Corrigendum: Mental State Detection Using Riemannian Geometry on Electroencephalogram Brain Signals

Towards Implantable Brain-Computer Interface for Communication in Locked-In Syndrome patients

Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?

Dynamic Cerebral Autoregulation Reproducibility Is Affected by Physiological Variability

Modeling of multiple-input, time-varying systems with recursively estimated basis expansions

Point/counterpoint: We should not take the direction of blood pressure change into consideration for dynamic cerebral autoregulation quantification

Classification and Prediction of Clinical Improvement in Deep Brain Stimulation From Intraoperative Microelectrode Recordings

Nonstationary multivariate modeling of cerebral autoregulation during resting state and hypercapnia (1184.10)

Time-domain methods for quantifying dynamic cerebral blood flow autoregulation: Review and recommendations. A white paper from the Cerebrovascular Research Network (CARNet)

Towards Implantable Brain-Computer Interface for Communication in Locked-In Syndrome patients: An introduction to INTRECOM

ECG Morphological Changes Due to Age and Heart Rate Variability

Identification of Multiple-Input, Linear and Nonlinear, Time-Varying Systems and Binary Response Systems for Biomedical Applications

Prediction of the Time to Syncope Occurrence in Patients Diagnosed with Vasovagal Syncope

Cerebrovascular Pulsatility During Rest and Exercise Reflects Hemodynamic Impairment in Stroke and Cerebral Small Vessel Disease

Nonstationary multivariate modeling of cerebral autoregulation during hypercapnia

Between-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure–flow relation: The CARNet study

A Linear Parameter Varying ARX Model for Describing Biomedical Signal Couplings

Volatility Clustering in Medical Ultrasound Imaging and System Identification Based Deconvolution

Identification of Time-Varying Cortico-cortical and Cortico-Muscular Coherence during Motor Tasks with Multivariate Autoregressive Models

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