Publications related to Focal seizure

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

David Atienza Alonso, Giovanni Ansaloni, José Angel Miranda Calero, Jonathan Dan, Amirhossein Shahbazinia, Flavio Ponzina

Epilepsy, a major neurological disease, requires careful diagnosis and treatment. However, the detection of epileptic seizures remains a significant challenge. Current clinical practice relies on expert analysis of EEG signals, a process that is time-consu ...

2024

Enhancing Epileptic Seizure Detection with EEG Feature Embeddings

Mahsa Shoaran, Bingzhao Zhu, Arman Zarei

Epilepsy is one of the most prevalent brain disorders that disrupts the lives of millions worldwide. For patients with drug-resistant seizures, there exist implantable devices capable of monitoring neural activity, promptly triggering neurostimulation to r ...

ArXiv2023

EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems

David Atienza Alonso, Amir Aminifar, Renato Zanetti

Epilepsy is one of the most common neurological disorders that is characterized by recurrent and unpredictable seizures. Wearable systems can be used to detect the onset of a seizure and notify family members and emergency units for rescue. The majority of ...

2023

Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: A graph signal processing study

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Patric Hagmann

Objective: Structure-function coupling remains largely unknown in brain disorders. We studied this coupling during interictal epileptic discharges (IEDs), using graph signal processing in temporal lobe epilepsy (TLE). Methods: We decomposed IEDs of 17 pati ...

ELSEVIER IRELAND LTD2023

Controlling morpho-electrophysiological variability of neurons with detailed biophysical models

Henry Markram, Werner Alfons Hilda Van Geit, Lida Kanari, Alexis Arnaudon, Maria Reva, Mickael Maurice Zbili

Variability is a universal feature among biological units such as neuronal cells as they enable a robust encoding of a high volume of information in neuronal circuits and prevent hyper synchronizations such as epileptic seizures. While most computational s ...

2023

Personalized seizure signature: An interpretable approach to false alarm reduction for long‐term epileptic seizure detection

David Atienza Alonso, Amir Aminifar, Tomas Teijeiro Campo, Dionisije Sopic

Objective Long-term automatic detection of focal seizures remains one of the major challenges in epilepsy due to the unacceptably high number of false alarms from state-of-the-art methods. Our aim was to investigate to what extent a new patient-specific ap ...

2022

Disruption of layer-specific visual processing in a model of focal neocortical epilepsy

Silvestro Micera, Matteo Vissani

The epileptic brain is the result of a sequence of events transforming normal neuronal populations into hyperexcitable networks supporting recurrent seizure generation. These modifications are known to induce fundamental alterations of circuit function and ...

OXFORD UNIV PRESS INC2022

Approximate Zero-Crossing: A new interpretable, highly discriminative and low-complexity feature for EEG and iEEG seizure detection

David Atienza Alonso, Tomas Teijeiro Campo, Una Pale, Renato Zanetti

Objective: Long-term monitoring of people with epilepsy based on electroencephalography (EEG) and intracranial EEG (iEEG) has the potential to deliver key clinical information for personalised epilepsy treatment. More specifically, in outpatient settings, ...

2022

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Focal seizure

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

Ambulatory seizure detection

Enhancing Epileptic Seizure Detection with EEG Feature Embeddings

EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems

Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: A graph signal processing study

Controlling morpho-electrophysiological variability of neurons with detailed biophysical models

Hyperdimensional computing for biosignal monitoring: Applications for epilepsy detection

Personalized seizure signature: An interpretable approach to false alarm reduction for long‐term epileptic seizure detection

Disruption of layer-specific visual processing in a model of focal neocortical epilepsy

Approximate Zero-Crossing: A new interpretable, highly discriminative and low-complexity feature for EEG and iEEG seizure detection

Graph Chatbot

Chat with Graph Search

Enhancing Epileptic Seizure Detection with EEG Feature Embeddings

EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems

Personalized seizure signature: An interpretable approach to false alarm reduction for long‐term epileptic seizure detection

Approximate Zero-Crossing: A new interpretable, highly discriminative and low-complexity feature for EEG and iEEG seizure detection

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

Hyperdimensional computing for biosignal monitoring: Applications for epilepsy detection

Disruption of layer-specific visual processing in a model of focal neocortical epilepsy

Ambulatory seizure detection

Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: A graph signal processing study

Controlling morpho-electrophysiological variability of neurons with detailed biophysical models