Concept
Épilepsie
Publications associées (103)
Ambulatory seizure detection
Purpose of review: To review recent advances in the field of seizure detection in ambulatory patients with epilepsy. Recent findings: Recent studies have shown that wrist or arm wearable sensors, using 3D-accelerometry, electrodermal activity or photopleth ...
2024Resource-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 ...
2024Hardware Implementation of Digital Signal Processing Algorithms for Programmable Epilepsy Control Systems
Epilepsy is a common chronic neurological disorder that causes recurring seizures and affects more than 50 million people worldwide. Implantable medical devices (IMDs) are regarded as effective tools to cure patients who suffer from refractory epilepsy. Se ...
EPFL2023Combined use of intraoperative MRI and awake tailored microsurgical resection to respect functional neural networks: preliminary experience
INTRODUCTION: The combined use of intraoperative MRI and awake surgery is a tailored microsurgical resection to respect functional neural networks (mainly the language and motor ones). Intraoperative MRI has been classically considered to increase the exte ...
2023Controlling 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 ...
2023Hyperdimensional computing for biosignal monitoring: Applications for epilepsy detection
Hyperdimensional (HD) computing is a novel approach to machine learning inspired by neuroscience, which uses vectors in a hyper-dimensional space to represent data and models. This approach has gained significant interest in recent years with applications ...
EPFL2023Enhancing 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 ...
ArXiv2023How I became myself after merging with a computer: Does human-machine symbiosis raise human rights issues?
Novel usages of brain stimulation combined with artificially intelligent (AI) systems promise to address a large range of diseases. These new conjoined technologies, such as brain-computer interfaces (BCI), are increasingly used in experimental and clinica ...
ELSEVIER SCIENCE INC2023Recent 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 ...
2022Disruption 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