Seizure forecasting: bifurcations in the long and winding road
To date, the unpredictability of seizures remains a source of suffering for people with
epilepsy, motivating decades of research into methods to forecast seizures. Originally, only …
epilepsy, motivating decades of research into methods to forecast seizures. Originally, only …
In‐hospital and home‐based long‐term monitoring of focal epilepsy with a wearable electroencephalographic device: Diagnostic yield and user experience
Objective The aim is to report the performance of an electroencephalogram (EEG) seizure‐
detector algorithm on data obtained with a wearable device (WD) in patients with focal …
detector algorithm on data obtained with a wearable device (WD) in patients with focal …
[HTML][HTML] Ambulatory seizure forecasting with a wrist-worn device using long-short term memory deep learning
The ability to forecast seizures minutes to hours in advance of an event has been verified
using invasive EEG devices, but has not been previously demonstrated using noninvasive …
using invasive EEG devices, but has not been previously demonstrated using noninvasive …
IoT and health monitoring wearable devices as enabling technologies for sustainable enhancement of life quality in smart environments
Abstract The Internet of Things (IoT) technology with wearable devices provides a promising
solution that enables con-tinuous monitoring of health parameters. Non-invasive sensors …
solution that enables con-tinuous monitoring of health parameters. Non-invasive sensors …
[HTML][HTML] Seizure forecasting using a novel sub-scalp ultra-long term EEG monitoring system
Accurate identification of seizure activity, both clinical and subclinical, has important
implications in the management of epilepsy. Accurate recognition of seizure activity is …
implications in the management of epilepsy. Accurate recognition of seizure activity is …
[HTML][HTML] Multiday cycles of heart rate are associated with seizure likelihood: An observational cohort study
Background Circadian and multiday rhythms are found across many biological systems,
including cardiology, endocrinology, neurology, and immunology. In people with epilepsy …
including cardiology, endocrinology, neurology, and immunology. In people with epilepsy …
Seizure detection and prediction by parallel memristive convolutional neural networks
During the past two decades, epileptic seizure detection and prediction algorithms have
evolved rapidly. However, despite significant performance improvements, their hardware …
evolved rapidly. However, despite significant performance improvements, their hardware …
Seizure forecasting using minimally invasive, ultra‐long‐term subcutaneous electroencephalography: individualized intrapatient models
Objective One of the most disabling aspects of living with chronic epilepsy is the
unpredictability of seizures. Cumulative research in the past decades has advanced our …
unpredictability of seizures. Cumulative research in the past decades has advanced our …
Seizure forecasting using minimally invasive, ultra‐long‐term subcutaneous EEG: generalizable cross‐patient models
This study describes a generalized cross‐patient seizure‐forecasting approach using
recurrent neural networks with ultra‐long‐term subcutaneous EEG (sqEEG) recordings …
recurrent neural networks with ultra‐long‐term subcutaneous EEG (sqEEG) recordings …
Chronic electroencephalography in epilepsy with a responsive neurostimulation device: current status and future prospects
VR Rao - Expert Review of Medical Devices, 2021 - Taylor & Francis
Introduction Implanted neurostimulation devices are gaining traction as therapeutic options
for people with certain forms of drug-resistant focal epilepsy. Some of these devices enable …
for people with certain forms of drug-resistant focal epilepsy. Some of these devices enable …