Results 51 to 60 of about 11,443 (224)
Epilepsia, EarlyView.Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron +7 more
wiley +1 more source
Sensors, 2023 The capability of measuring specific neurophysiological and autonomic parameters plays a crucial role in the objective evaluation of a human’s mental and emotional states. These human aspects are commonly known in the scientific literature to be involved
Vincenzo Ronca +8 more
doaj +1 more source
Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy
Epilepsia, EarlyView.Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie +10 more
wiley +1 more source
Brain Sciences, 2021 The present double-blinded, randomized controlled study sought to compare the effects of a full-body manual massage (MM) and a foam rolling (FR) intervention on subjective and objective indexes of performance and well-being.
Yann Kerautret +3 more
doaj +1 more source
Tonic–clonic seizures captured during ambulatory video‐EEG are frequently unreported
Epilepsia, EarlyView.Abstract Objective Tonic–clonic seizures (TCSs) are widely regarded as clinically obvious, yet seizure counts used for treatment decisions and risk counseling often rely on patient or caregiver diaries. We sought to quantify the frequency of unreported TCSs during prolonged ambulatory video‐EEG (vEEG) monitoring and examined associations with ...
Ewan S. Nurse +3 more
wiley +1 more source
Electrodermal Activity artifact correction BEnchmark (EDABE)
, 2023 "Electrodermal Activity artifact correction BEnchmark" (EDABE) is a dataset for training and testing artifact recognition and correction models to automatically remove major artifacts in electrodermal activity (EDA) signals.
Marín-Morales, J
core +2 more sources
PLoS ONE, 2019 Self-defining memories (SDM) are autobiographical memories associated with the construction and maintenance of identity, and which play a core role in establishing and achieving goals in life.
Audrey Lavallee +5 more
doaj +1 more source
Education Sciences, 2021 Interest plays a critical role in learning and development. It is able to compel students toward short term exploration, motivating them toward the pursuit of future goals, as well as leading to the development of knowledge and cognitive abilities ...
Aik Lim Tan +2 more
doaj +1 more source
Detection of focal impaired awareness seizures using a biometric shirt
Epilepsia Open, EarlyView.Abstract Objective In recent years, seizure detection using wearable technology has gained significant attention in research. Most studies, however, have focused on detecting generalized or focal to bilateral tonic–clonic seizures. This study evaluates the feasibility of using a biometric shirt to detect focal impaired awareness seizures (FIAS) by ...
Jérôme St‐Jean +6 more
wiley +1 more source
Electrodermal activity in patients with unilateral brain damage
, 1993 Electrodermal activity has been studied in patients with focal brain injury mainly to evaluate hypotheses about the relative contribution of the two cerebral hemispheres to emotional processes.
PECCHINENDA, ANNA +7 more
core +1 more source