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

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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 ...

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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- ...

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In this thesis, I focus on monitoring of patients suffering from cardiovascular and neurological diseases through the use of wearable devices. The main diseases considered in this thesis are atrial fibrillation (AF), myocardial infarction (MI), and epileps ...

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

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INCLASS: Incremental Classification Strategy for Self-Aware Epileptic Seizure Detection

Sequential CNN-based Enhancement of Ultrafast Ultrasound Imaging for Sparse Arrays

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Epileptic Seizure Detection With Patient-Specific Feature and Channel Selection for Low-power Applications

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M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities

Digital Twin Generalization with Meta and Geometric Deep Learning

Personalized Real-Time Federated Learning for Epileptic Seizure Detection

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Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection

Automatic detection of generalized paroxysmal fast activity in interictal EEG using time-frequency analysis

No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO

Two-stage Hardware-Friendly Epileptic Seizure Detection Method with a Dynamic Feature Selection

EpilepsyGAN: Synthetic Epileptic Brain Activities with Privacy Preservation

Monitoring of Cardiovascular and Neurological Diseases Using Wearable Devices