Publications related to Causes of seizures

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

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

Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection

David Atienza Alonso, Tomas Teijeiro Campo, Una Pale

Wearable and unobtrusive monitoring and prediction of epileptic seizures has the potential to significantly increase the life quality of patients, but is still an unreached goal due to challenges of real-time detection and wearable devices design. Hyperdim ...

2022

Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection

David Atienza Alonso, Tomas Teijeiro Campo, Una Pale

Long-term monitoring of patients with epilepsy presents a challenging problem from the engineering perspective of real-time detection and wearable devices design. It requires new solutions that allow continuous unobstructed monitoring and reliable detectio ...

2022

Recent Developments on the Use of Nanomaterials for the Treatment of Epilepsy

Sandrine Gerber, Sara María Garcia Pedrero

Epilepsy affects more than 40 million people worldwide, constituting one of the most debilitating disorders of the Central Nervous System (CNS). It results from an imbalance in the electrical activity of neurons, which is primarily mediated by calcium ions ...

2022

Hardware-Friendly Random Forest Classification of iEEG Signals for Implantable Seizure Detection

Alexandre Schmid, Keyvan Farhang Razi

Early and accurate detection of epileptic seizures is an extremely important therapeutic goal due to the severity of complications it can prevent. To this end, a low-power machine learning-based seizure detection implemented on an FPGA is proposed in this ...

IEEE2022

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

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Causes of seizures

Controlling morpho-electrophysiological variability of neurons with detailed biophysical models

Enhancing Epileptic Seizure Detection with EEG Feature Embeddings

Hyperdimensional computing for biosignal monitoring: Applications for epilepsy detection

Hardware Implementation of Digital Signal Processing Algorithms for Programmable Epilepsy Control Systems

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

Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection

Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection

Recent Developments on the Use of Nanomaterials for the Treatment of Epilepsy

Hardware-Friendly Random Forest Classification of iEEG Signals for Implantable Seizure Detection

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

Graph Chatbot

Chat with Graph Search

Controlling morpho-electrophysiological variability of neurons with detailed biophysical models

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

Hardware Implementation of Digital Signal Processing Algorithms for Programmable Epilepsy Control Systems

Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection

Hyperdimensional computing for biosignal monitoring: Applications for epilepsy detection

Recent Developments on the Use of Nanomaterials for the Treatment of Epilepsy

Enhancing Epileptic Seizure Detection with EEG Feature Embeddings

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

Hardware-Friendly Random Forest Classification of iEEG Signals for Implantable Seizure Detection

Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection