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Improving wearable-based seizure prediction by feature fusion using growing network
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/jamaneurol.2017.3949openalex-snapshot
Treatment Outcomes in Patients With Newly Diagnosed Epilepsy Treated With Established and New Antiepileptic Drugs
inferredcites →https://doi.org/10.1002/epi4.12854openalex-snapshot
Feasibility of cardiac‐based seizure detection and prediction: A systematic review of non‐invasive wearable sensor‐based studies
inferredcites →https://doi.org/10.1007/978-1-4612-4380-9_14openalex-snapshot
Relations Between Two Sets of Variates
inferredcites →https://doi.org/10.1016/j.clinph.2020.01.007openalex-snapshot
Electrocardiographic changes associated with epilepsy beyond heart rate and their utilization in future seizure detection and forecasting methods
inferredcites →https://doi.org/10.1016/j.eplepsyres.2024.107474openalex-snapshot
Necessary for seizure forecasting outcome metrics: Seizure frequency and benchmark model
inferredcites →https://doi.org/10.1016/j.eswa.2023.120986openalex-snapshot
Developing a deep canonical correlation-based technique for seizure prediction
inferredcites →https://doi.org/10.1016/j.jneumeth.2022.109483openalex-snapshot
Theoretical and methodological analysis of EEG based seizure detection and prediction: An exhaustive review
inferredcites →https://doi.org/10.1016/j.neuri.2024.100184openalex-snapshot
Training size predictably improves machine learning-based epileptic seizure forecasting from wearables
inferredcites →https://doi.org/10.1016/j.pediatrneurol.2023.07.018openalex-snapshot
Development of a Multivariable Seizure Likelihood Assessment Based on Clinical Information and Short Autonomic Activity Recordings for Children With Epilepsy
inferredcites →https://doi.org/10.1016/j.seizure.2010.07.008openalex-snapshot
Cardiac changes in epilepsy
inferredcites →https://doi.org/10.1016/j.seizure.2017.10.007openalex-snapshot
Rescue Medications in Epilepsy Patients: A Family Perspective
inferredcites →https://doi.org/10.1016/j.sigpro.2020.107613openalex-snapshot
Determining the dimension and structure of the subspace correlated across multiple data sets
inferredcites →https://doi.org/10.1016/j.yebeh.2010.05.008openalex-snapshot
Views of patients with epilepsy on seizure prediction devices
inferredcites →https://doi.org/10.1016/j.yebeh.2019.02.018openalex-snapshot
Peripheral multimodal monitoring of ANS changes related to epilepsy
inferredcites →https://doi.org/10.1016/j.yebeh.2021.108321openalex-snapshot
Generalized tonic-clonic seizures are accompanied by changes of interrelations within the autonomic nervous system
inferredcites →https://doi.org/10.1016/j.yebeh.2021.108453openalex-snapshot
Does the type of seizure influence heart rate variability changes?
inferredcites →https://doi.org/10.1016/s1474-4422(13)70075-9openalex-snapshot
Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study
inferredcites →https://doi.org/10.1016/s1474-4422(16)30158-2openalex-snapshot
Sudden unexpected death in epilepsy: epidemiology, mechanisms, and prevention
inferredcites →https://doi.org/10.1017/9781108778411openalex-snapshot
The Integrative Action of the Autonomic Nervous System
inferredcites →https://doi.org/10.1038/s41582-018-0055-2openalex-snapshot
Seizure prediction — ready for a new era
inferredcites →https://doi.org/10.1038/s41592-019-0686-2openalex-snapshot
SciPy 1.0: fundamental algorithms for scientific computing in Python
inferredcites →https://doi.org/10.1038/s41598-021-01449-2openalex-snapshot
Ambulatory seizure forecasting with a wrist-worn device using long-short term memory deep learning
inferredcites →https://doi.org/10.1038/s41598-022-23902-6openalex-snapshot
Unsupervised EEG preictal interval identification in patients with drug-resistant epilepsy
inferredcites →https://doi.org/10.1038/s41598-022-25949-xopenalex-snapshot
Data quality evaluation in wearable monitoring
inferredcites →https://doi.org/10.1038/s41598-024-64802-1openalex-snapshot
Addressing data limitations in seizure prediction through transfer learning
inferredcites →https://doi.org/10.1080/15438627.2019.1665522openalex-snapshot
Multimodal approach towards understanding the changes in the autonomic nervous system induced by an ultramarathon
inferredcites →https://doi.org/10.1093/biomet/58.3.433openalex-snapshot
Canonical Analysis of Several Sets of Variables
inferredcites →https://doi.org/10.1093/brain/awl241openalex-snapshot
Seizure prediction: the long and winding road
inferredcites →https://doi.org/10.1093/brain/aww019openalex-snapshot
Interictal spikes and epileptic seizures: their relationship and underlying rhythmicity
inferredcites →https://doi.org/10.1093/brain/awx173openalex-snapshot
The circadian profile of epilepsy improves seizure forecasting
inferredcites →https://doi.org/10.1097/wnp.0b013e31821213d4openalex-snapshot
Chronobiology of Epilepsy: Diagnostic and Therapeutic Implications of Chrono-Epileptology
inferredcites →https://doi.org/10.1109/embc.2018.8512785openalex-snapshot
Noninvasive seizure prediction using autonomic measurements in patients with refractory epilepsy
inferredcites →https://doi.org/10.1109/icassp48485.2024.10446173openalex-snapshot
Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning
inferredcites →https://doi.org/10.1109/mlsp55844.2023.10285937openalex-snapshot
Geodesic-Based Relaxation For Deep Canonical Correlation Analysis
inferredcites →https://doi.org/10.1109/rbme.2020.3008792openalex-snapshot
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review
inferredcites →https://doi.org/10.1109/tbme.2015.2512276openalex-snapshot
Epileptic Seizure Prediction Based on Multivariate Statistical Process Control of Heart Rate Variability Features
inferredcites →https://doi.org/10.1109/tc.2019.2914438openalex-snapshot
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
inferredcites →https://doi.org/10.1111/epi.16485openalex-snapshot
Forecasting cycles of seizure likelihood
inferredcites →https://doi.org/10.1111/epi.16491openalex-snapshot
Peri‐ictal heart rate variability parameters as surrogate markers of seizure severity
inferredcites →https://doi.org/10.1111/epi.16719openalex-snapshot
Machine learning from wristband sensor data for wearable, noninvasive seizure forecasting
inferredcites →https://doi.org/10.1111/epi.16843openalex-snapshot
Twenty‐four‐hour patterns in electrodermal activity recordings of patients with and without epileptic seizures
inferredcites →https://doi.org/10.1111/epi.16967openalex-snapshot
Seizure detection using wearable sensors and machine learning: Setting a benchmark
inferredcites →https://doi.org/10.1111/epi.17165openalex-snapshot
The global cost of epilepsy: A systematic review and extrapolation
inferredcites →https://doi.org/10.1111/epi.17774openalex-snapshot
Artificial intelligence‐enhanced epileptic seizure detection by wearables
inferredcites →https://doi.org/10.1111/epi.18138openalex-snapshot
Effects of epileptic seizures on the quality of biosignals recorded from wearables
inferredcites →https://doi.org/10.1111/j.1528-1167.2005.00411.xopenalex-snapshot
Sudden Unexpected Death in Epilepsy: A Review of Incidence and Risk Factors
inferredcites →https://doi.org/10.1111/j.1528-1167.2009.02479.xopenalex-snapshot
Autonomic alterations and cardiac changes in epilepsy
inferredcites →https://doi.org/10.1111/j.1528-1167.2012.03444.xopenalex-snapshot
Convulsive seizure detection using a wrist‐worn electrodermal activity and accelerometry biosensor
inferredcites →https://doi.org/10.1142/s012906570000034xopenalex-snapshot
KERNEL AND NONLINEAR CANONICAL CORRELATION ANALYSIS
inferredcites →https://doi.org/10.1145/3465055openalex-snapshot
An Attentive Survey of Attention Models
inferredcites →https://doi.org/10.1371/journal.pone.0204339openalex-snapshot
Patient-specific seizure prediction based on heart rate variability and recurrence quantification analysis
inferredcites →https://doi.org/10.3389/fneur.2017.00473openalex-snapshot
Ranking the Leading Risk Factors for Sudden Unexpected Death in Epilepsy
inferredcites →https://doi.org/10.3389/fneur.2021.690404openalex-snapshot
Seizure Diaries and Forecasting With Wearables: Epilepsy Monitoring Outside the Clinic
inferredcites →https://doi.org/10.3389/fneur.2021.704060openalex-snapshot
Forecasting Seizure Likelihood With Wearable Technology
inferredcites →https://doi.org/10.3389/fphys.2019.00240openalex-snapshot
Exercise-Induced Changes of Multimodal Interactions Within the Autonomic Nervous Network
inferredcites →https://doi.org/10.3390/s19204448openalex-snapshot
Wearables and the Quantified Self: Systematic Benchmarking of Physiological Sensors
inferredcites →https://doi.org/10.3390/s20143987openalex-snapshot
Wearable Epileptic Seizure Prediction System with Machine-Learning-Based Anomaly Detection of Heart Rate Variability
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1511.05641openalex-snapshot
Net2Net: Accelerating Learning via Knowledge Transfer
inferredcites →https://doi.org/10.48550/arxiv.2102.08574openalex-snapshot
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/epi.70117openalex-snapshot
Evaluating multimodal autonomic correlations in pediatric epilepsy using wearable biosignals
inferred← citeshttps://doi.org/10.1002/epi.70394openalex-snapshot
Seizure forecasting: The long and winding road to clinical translation
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