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Published in 2019 at "Neurological Research"
DOI: 10.1080/01616412.2018.1532481
Abstract: ABSTRACT Objective: Epilepsy is a neurological disorder affecting 50 million individuals globally. Modern research has inspected the likelihood of forecasting epileptic seizures. Algorithmic investigations are giving promising results for seizure prediction. Though mostly seizure prediction…
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Keywords:
seizure forecasting;
correlation vector;
seizure;
feature ... See more keywords
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Published in 2022 at "Physiological Measurement"
DOI: 10.1088/1361-6579/aca6ca
Abstract: Objectives. People with refractory epilepsy are overwhelmed by the uncertainty of their next seizures. Accurate prediction of future seizures could greatly improve the quality of life for these patients. New evidence suggests that seizure occurrences…
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Keywords:
seizure;
machine learning;
wise;
seizure diaries ... See more keywords
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Published in 2017 at "Brain"
DOI: 10.1093/brain/awx173
Abstract: It is now established that epilepsy is characterized by periodic dynamics that increase seizure likelihood at certain times of day, and which are highly patient-specific. However, these dynamics are not typically incorporated into seizure prediction…
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Keywords:
seizure forecasting;
epilepsy;
prediction algorithms;
seizure prediction ... See more keywords
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Published in 2022 at "Royal Society Open Science"
DOI: 10.1098/rsos.220374
Abstract: This paper proposes an artificial intelligence system that continuously improves over time at event prediction using initially unlabelled data by using self-supervised learning. Time-series data are inherently autocorrelated. By using a detection model to generate…
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Keywords:
supervised learning;
self supervised;
feasibility;
feasibility study ... See more keywords
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Published in 2020 at "Epilepsia"
DOI: 10.1111/epi.16719
Abstract: Seizure forecasting may provide patients with timely warnings to adapt their daily activities and help clinicians deliver more objective, personalized treatments. Although recent work has convincingly demonstrated that seizure risk assessment is in principle possible,…
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Keywords:
seizure forecasting;
sensor data;
wristband sensor;
machine learning ... See more keywords
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Published in 2022 at "Epilepsia"
DOI: 10.1111/epi.17252
Abstract: 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 understanding of the dynamics of seizure risk. Technological advances…
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Keywords:
long term;
ultra long;
term;
eeg ... See more keywords
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Published in 2022 at "Epilepsia"
DOI: 10.1111/epi.17265
Abstract: This study describes a generalized cross-patient seizure forecasting approach using recurrent neural networks with ultra long-term subcutaneous EEG (sqEEG) recordings. Data from six patients diagnosed with refractory epilepsy and monitored with a sqEEG device was…
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Keywords:
long term;
ultra long;
cross patient;
cross ... See more keywords
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Published in 2022 at "Epilepsia"
DOI: 10.1111/epi.17311
Abstract: 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 few scientists and neurologists ventured into this niche endeavor,…
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Keywords:
seizure;
winding road;
long winding;
forecasting bifurcations ... See more keywords
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Published in 2023 at "Epilepsia"
DOI: 10.1111/epi.17546
Abstract: A lot of mileage has been made on the long and winding road towards seizure forecasting recently. Here, we briefly review some selected milestones passed along the way which were discussed at the International Conference…
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Keywords:
seizure;
forecasting stand;
seizure forecasting;
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Published in 2022 at "Neurology"
DOI: 10.1212/wnl.0000000000200348
Abstract: Background and Objectives Reliable seizure forecasting has important implications in epilepsy treatment and improving the quality of lives for people with epilepsy. High-frequency activity (HFA) is a biomarker that has received significant attention over the…
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Keywords:
long term;
seizure;
hfa;
term continuous ... See more keywords
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Published in 2017 at "eNeuro"
DOI: 10.1523/eneuro.0349-17.2017
Abstract: Abstract The Epilepsy Innovation Institute (Ei2) is a new research program of the Epilepsy Foundation designed to be an innovation incubator for epilepsy. Ei2 research areas are selected based on community surveys that ask people…
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Keywords:
seizure forecasting;
innovation institute;
seizure;
epilepsy innovation ... See more keywords