[HTML][HTML] Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review
Introduction Wearable sensors have shown promise as a non-intrusive method for collecting
biomarkers that may correlate with levels of elevated stress. Stressors cause a variety of …
biomarkers that may correlate with levels of elevated stress. Stressors cause a variety of …
The future of intensive care: delirium should no longer be an issue
K Kotfis, I van Diem-Zaal, S Williams Roberson… - Critical Care, 2022 - Springer
In the ideal intensive care unit (ICU) of the future, all patients are free from delirium, a
syndrome of brain dysfunction frequently observed in critical illness and associated with …
syndrome of brain dysfunction frequently observed in critical illness and associated with …
Automated seizure detection with noninvasive wearable devices: a systematic review and meta‐analysis
Objective This study was undertaken to review the reported performance of noninvasive
wearable devices in detecting epileptic seizures and psychogenic nonepileptic seizures …
wearable devices in detecting epileptic seizures and psychogenic nonepileptic seizures …
[HTML][HTML] Machine learning in clinical trials: A primer with applications to neurology
MI Miller, LC Shih, VB Kolachalama - Neurotherapeutics, 2023 - Elsevier
We reviewed foundational concepts in artificial intelligence (AI) and machine learning (ML)
and discussed ways in which these methodologies may be employed to enhance progress …
and discussed ways in which these methodologies may be employed to enhance progress …
Wearable digital health technology for epilepsy
E Donner, O Devinsky, D Friedman - New England Journal of …, 2024 - Mass Medical Soc
Wearable Digital Health Technology for Epilepsy | New England Journal of Medicine Skip to main
content The New England Journal of Medicine homepage Advanced Search SEARCH …
content The New England Journal of Medicine homepage Advanced Search SEARCH …
[HTML][HTML] Electrodermal activity response during seizures: A systematic review and meta-analysis
MC Ortega, E Bruno, MP Richardson - Epilepsy & Behavior, 2022 - Elsevier
Introduction Wearable devices for continuous seizure monitoring have drawn increasing
attention in the field of epilepsy research. One of the parameters recorded by these devices …
attention in the field of epilepsy research. One of the parameters recorded by these devices …
Review of machine and deep learning techniques in epileptic seizure detection using physiological signals and sentiment analysis
Epilepsy is one of the significant neurological disorders affecting nearly 65 million people
worldwide. The repeated seizure is characterized as epilepsy. Different algorithms were …
worldwide. The repeated seizure is characterized as epilepsy. Different algorithms were …
A systematic review of the literature reporting on remote monitoring epileptic seizure detection devices
Background Early detection and alert notification of an impending seizure for people with
epilepsy have the potential to reduce Sudden Unexpected Death in Epilepsy (SUDEP) …
epilepsy have the potential to reduce Sudden Unexpected Death in Epilepsy (SUDEP) …
A novel approach to automatic seizure detection using computer vision and independent component analysis
Objective Epilepsy is a neurological disease that affects~ 50 million people worldwide, 30%
of which have refractory epilepsy and recurring seizures, which may contribute to higher …
of which have refractory epilepsy and recurring seizures, which may contribute to higher …
[HTML][HTML] Non-electroencephalogram-based seizure detection devices: State of the art and future perspectives
PM Larsen, S Beniczky - Epilepsy & Behavior, 2023 - Elsevier
Introduction and purpose The continuously expanding research and development of
wearable devices for automated seizure detection in epilepsy uses mostly non-invasive …
wearable devices for automated seizure detection in epilepsy uses mostly non-invasive …