Antonio Valentín

Orcid: 0000-0003-0449-5234

According to our database1, Antonio Valentín authored at least 18 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A review of signal processing and machine learning techniques for interictal epileptiform discharge detection.
Comput. Biol. Medicine, January, 2024

2023
Localization of Epileptic Brain Responses to Single-Pulse Electrical Stimulation by Developing an Adaptive Iterative Linearly Constrained Minimum Variance Beamformer.
Int. J. Neural Syst., October, 2023

Response to the Discussion on S. Shirani, A. Valentin, G. Alarcon, F. Kazi and S. Sanei, Separating Inhibitory and Excitatory Responses of Epileptic Brain to Single-Pulse Electrical Stimulation, International Journal of Neural Systems, Vol. 33, No. 2 (2023) 2350008.
Int. J. Neural Syst., September, 2023

Separating Inhibitory and Excitatory Responses of Epileptic Brain to Single-Pulse Electrical Stimulation.
Int. J. Neural Syst., February, 2023

An embedded intracranial seizure monitor for objective outcome measurements and rhythm identification.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Sparse Common Feature Analysis for Detection of Interictal Epileptiform Discharges From Concurrent Scalp EEG.
IEEE Access, 2022

Online Detection of Scalp-Invisible Mesial-Temporal Brain Interictal Epileptiform Discharges from EEG.
Proceedings of the IEEE International Conference on Acoustics, 2022

Computationally efficient neural network classifiers for next generation closed loop neuromodulation therapy - a case study in epilepsy.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Incorporating Uncertainty in Data Labeling into Automatic Detection of Interictal Epileptiform Discharges from Concurrent Scalp-EEG via Multi-way Analysis.
Int. J. Neural Syst., 2021

Embedding digital chronotherapy into medical devices - A canine case study in controlling status epilepticus through multi-scale rhythmic brain stimulation.
CoRR, 2021

Incorporating Uncertainty In Data Labeling Into Detection of Brain Interictal Epileptiform Discharges From EEG Using Weighted optimization.
Proceedings of the IEEE International Conference on Acoustics, 2021

Detection of Brain Interictal Epileptiform Discharges from Intracranial EEG by Exploiting their Morphology in the Tensor Structure.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
DyNeuMo Mk-2: An Investigational Circadian-Locked Neuromodulator with Responsive Stimulation for Applied Chronobiology.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2018
Deep Neural Architectures for Mapping Scalp to Intracranial EEG.
Int. J. Neural Syst., 2018

Characterizing EEG Cortical Dynamics and Connectivity with Responses to Single Pulse Electrical Stimulation (SPES).
Int. J. Neural Syst., 2018

2017
Mechanisms underlying different onset patterns of focal seizures.
PLoS Comput. Biol., 2017

The Role of Thalamus Versus Cortex in Epilepsy: Evidence from Human Ictal Centromedian Recordings in Patients Assessed for Deep Brain Stimulation.
Int. J. Neural Syst., 2017

2016
Detection of Intracranial Signatures of Interictal Epileptiform Discharges from Concurrent Scalp EEG.
Int. J. Neural Syst., 2016


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