Novel electrode architecture for subgaleal electroencephalography: a feasibility study
Electroencephalography (EEG) has been widely used to monitor and understand the
nervous system and as a clinical diagnostic tool. In the case of neurological conditions with …
nervous system and as a clinical diagnostic tool. In the case of neurological conditions with …
Critical dynamics and interictal epileptiform discharge: a comparative analysis with respect to tracking seizure risk cycles
Epilepsy is characterized by recurrent, unprovoked seizures. Accurate prediction of seizure
occurrence has long been a clinical goal since this would allow to optimize patient …
occurrence has long been a clinical goal since this would allow to optimize patient …
Systemic inflammation as a biomarker of seizure propensity and a target for treatment to reduce seizure propensity
C Stredny, A Rotenberg, A Leviton… - Epilepsia …, 2023 - Wiley Online Library
People with diabetes can wear a device that measures blood glucose and delivers just the
amount of insulin needed to return the glucose level to within bounds. Currently, people with …
amount of insulin needed to return the glucose level to within bounds. Currently, people with …
Epileptic seizure forecasting with wearable‐based nocturnal sleep features
TY Ding, L Gagliano, A Jahani, DH Toffa… - Epilepsia …, 2024 - Wiley Online Library
Objective Non‐invasive biomarkers have recently shown promise for seizure forecasting in
people with epilepsy. In this work, we developed a seizure‐day forecasting algorithm based …
people with epilepsy. In this work, we developed a seizure‐day forecasting algorithm based …
Focal seizures unfold variably over time
MO Baud, VR Rao - Brain Communications, 2023 - academic.oup.com
Focal seizures unfold variably over time | Brain Communications | Oxford Academic Skip to
Main Content Advertisement intended for healthcare professionals Oxford Academic …
Main Content Advertisement intended for healthcare professionals Oxford Academic …
[HTML][HTML] Diverse nature of interictal oscillations: EEG-based biomarkers in epilepsy
N Lai, Z Li, C Xu, Y Wang, Z Chen - Neurobiology of Disease, 2023 - Elsevier
Interictal electroencephalogram (EEG) patterns, including high-frequency oscillations
(HFOs), interictal spikes (ISs), and slow wave activities (SWAs), are defined as specific …
(HFOs), interictal spikes (ISs), and slow wave activities (SWAs), are defined as specific …
Seizure forecasting and detection: Computational models, machine learning, and translation into devices
For the 50 million people with epilepsy worldwide, seizures are seemingly unpredictable
events that can be associated with significant morbidity and mortality. Reliable methods to …
events that can be associated with significant morbidity and mortality. Reliable methods to …
Seizure forecasting from subcutaneous EEG using long short term memory neural networks: Algorithm development and optimization
Seizure forecasting is a great research interest due to its potential in helping patients
manage activities or facilitate targeted therapies, specifically with the emergence of new …
manage activities or facilitate targeted therapies, specifically with the emergence of new …
Healthy eating for secondary stroke prevention
S Wu, CS Anderson - The Lancet Neurology, 2021 - thelancet.com
Stroke is the second leading cause of death and disability worldwide, 1 with approximately a
fourth of all events occurring in people who already had a stroke. 2 Given the growing …
fourth of all events occurring in people who already had a stroke. 2 Given the growing …
Comparison of patient specific and general classification of epileptic seizure prediction
YM Massoud, L Kuhlmann… - 2021 International …, 2021 - ieeexplore.ieee.org
Epilepsy is a neurological disorder in which abnormal brain activity occurs, causing
seizures. Recent studies have used machine learning techniques to produce a seizure …
seizures. Recent studies have used machine learning techniques to produce a seizure …