Publications associées à Syndrome de West

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

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

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

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

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

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

Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection

David Atienza Alonso, Tomas Teijeiro Campo, Una Pale

Hyperdimensional computing is a promising novel paradigm for low-power embedded machine learning. It has been applied on different biomedical applications, and particularly on epileptic seizure detection. Unfortunately, due to differences in data preparati ...

2021

Personalized Real-Time Federated Learning for Epileptic Seizure Detection

David Atienza Alonso, Amir Aminifar, Tomas Teijeiro Campo, Saleh Baghersalimi

Epilepsy is one of the most prevalent paroxystic neurological disorders. It is characterized by the occurrence of spontaneous seizures. About 1 out of 3 patients have drug-resistant epilepsy, thus their seizures cannot be controlled by medication. Automati ...

2021

Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices

David Atienza Alonso, Amir Aminifar, Tomas Teijeiro Campo, Farnaz Forooghifar

Low-power wearable technologies offer a promising solution to pervasive epilepsy monitoring by removing the constraints concerning time and location, on one hand, and fulfilling long-term tracking, on the other hand. In the case of epileptic seizures, as t ...

2021

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Syndrome de West

Controlling morpho-electrophysiological variability of neurons with detailed biophysical models

Hyperdimensional computing for biosignal monitoring: Applications for epilepsy detection

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

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

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

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

Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection

Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection

Personalized Real-Time Federated Learning for Epileptic Seizure Detection

Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices

Graph Chatbot

Chattez avec Graph Search

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

Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection

Hyperdimensional computing for biosignal monitoring: Applications for epilepsy detection

Controlling morpho-electrophysiological variability of neurons with detailed biophysical models

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

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

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

Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection

Personalized Real-Time Federated Learning for Epileptic Seizure Detection

Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices