Concept
Convulsion hyperthermique
Publications associées (28)
Hardware 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 ...
ArXiv2023EpilepsyNet: 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 ...
2023Epileptic 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 INC2022Multi-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 ...
2022Personalized 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 ...
2022An EEG-based methodology for the estimation of functional brain connectivity networks: Application to the analysis of newborn EEG seizure
This study presents a new methodology for obtaining functional brain networks (FBNs) using multichannel scalp EEG recordings. The developed methodology extracts pair-wise phase synchrony between EEG electrodes to obtain FBNs at delta, theta, and alpha-band ...
ELSEVIER SCI LTD2021Interpreting deep learning models for epileptic seizure detection on EEG signals
David Atienza Alonso, Marina Zapater Sancho, Tomas Teijeiro Campo, Valentin Alexandre Guy Gabeff, Leila Cammoun
While Deep Learning (DL) is often considered the state-of-the art for Artificial Intelligence-based medical decision support, it remains sparsely implemented in clinical practice and poorly trusted by clinicians due to insufficient interpretability of neur ...
2021Two-stage Hardware-Friendly Epileptic Seizure Detection Method with a Dynamic Feature Selection
Alexandre Schmid, Keyvan Farhang Razi
A novel low-complexity method of detecting epileptic seizures from intracranial encephalography (iEEG) signals is presented. In the proposed algorithm, coastline, energy and nonlinear energy features of iEEG signals are extracted in a patient-specific two- ...
IEEE2021Automatic detection of generalized paroxysmal fast activity in interictal EEG using time-frequency analysis
Objective: Markup of generalized interictal epileptiform discharges (IEDs) on EEG is an important step in the diagnosis and characterization of epilepsy. However, manual EEG markup is a time-consuming, subjective, and the specialized task where the human r ...
PERGAMON-ELSEVIER SCIENCE LTD2021