Publication
Personalized seizure signature: An interpretable approach to false alarm reduction for long‐term epileptic seizure detection
Publications associées (50)
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 ...
2024Ambulatory 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 ...
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 ...
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 ...
ArXiv2023Approximate 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, ...
2022Multi-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 ...
2022Epileptic Seizure Detection With Patient-Specific Feature and Channel Selection for Low-power Applications
Alexandre Schmid, Keyvan Farhang Razi
An accurate epileptic seizure detector using intracranial electroencephalography (iEEG) recordings, suitable for low-power wearable/implantable applications, is presented. Eleven time-domain features with low hardware complexity are employed in the feature ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities
David Atienza Alonso, Amir Aminifar, Alireza Amirshahi, Anthony Hitchcock Thomas
Recent years have seen growing interest in leveraging deep learning models for monitoring epilepsy patients based on electroencephalographic (EEG) signals. However, these approaches often exhibit poor generalization when applied outside of the setting in w ...
2022Recent 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 ...
2022Increased Gray Matter Density in the Right Mesencephalic Tegmentum Is Associated With Better Engel Classes I and II After Radiosurgery for Hypothalamic Hamartomas
BACKGROUND:Hypothalamic hamartomas (HHs) are disabling congenital lesions, responsible for gelastic seizures frequently associated with catastrophic epilepsies, epileptogenic encephalopathy, and cognitive and psychiatric severe comorbidities. Stereotactic ...
LIPPINCOTT WILLIAMS & WILKINS2022