Deep-learning for seizure forecasting in canines with epilepsy
暂无分享,去创建一个
Petr Klimes | Vaclav Kremen | Jan Cimbalnik | Yogatheesan Varatharajah | Gregory A Worrell | Mona Nasseri | Benjamin H Brinkmann | Petr Nejedly | Hari Guragain | Vladimir Sladky | B. Brinkmann | G. Worrell | Y. Varatharajah | J. Cimbalnik | V. Kremen | P. Nejedly | H. Guragain | M. Nasseri | V. Sladky | P. Klimeš
[1] Benjamin H. Brinkmann,et al. A Chronically Implantable Neural Coprocessor for Investigating the Treatment of Neurological Disorders , 2018, IEEE Transactions on Biomedical Circuits and Systems.
[2] Brian Litt,et al. Forecasting Seizures in Dogs with Naturally Occurring Epilepsy , 2014, PloS one.
[3] Filip Plesinger,et al. Parallel use of a convolutional neural network and bagged tree ensemble for the classification of Holter ECG , 2018, Physiological measurement.
[4] Pavel Jurák,et al. CudaFilters: A SignalPlant library for GPU‐accelerated FFT and FIR filtering , 2018, Softw. Pract. Exp..
[5] F Plesinger,et al. SignalPlant: an open signal processing software platform , 2016, Physiological measurement.
[6] Brian Litt,et al. The statistics of a practical seizure warning system , 2008, Journal of neural engineering.
[7] Terence O'Brien,et al. Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System , 2017, EBioMedicine.
[8] Benjamin H. Brinkmann,et al. SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal , 2017, IEEE Transactions on Biomedical Engineering.
[9] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[10] W T Blume,et al. A randomized, controlled trial of surgery for temporal-lobe epilepsy. , 2001, The New England journal of medicine.
[11] R. Sica,et al. Canine electroencephalographic recording technique: findings in normal and epileptic dogs , 2004, Clinical Neurophysiology.
[12] Ravishankar K. Iyer,et al. Seizure Forecasting and the Preictal State in Canine Epilepsy , 2017, Int. J. Neural Syst..
[13] S. Charpier,et al. Slow modulations of high-frequency activity (40–140 Hz) discriminate preictal changes in human focal epilepsy , 2014, Scientific Reports.
[14] Brian Litt,et al. Integrating Brain Implants With Local and Distributed Computing Devices: A Next Generation Epilepsy Management System , 2018, IEEE Journal of Translational Engineering in Health and Medicine.
[15] Jiawei Yang,et al. Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram , 2018, Neural Networks.
[16] E. Patterson,et al. Canine epilepsy: an underutilized model. , 2014, ILAR journal.
[17] Brian Litt,et al. Epilepsyecosystem.org: crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG , 2018, Brain : a journal of neurology.
[18] Ronald Tetzlaff,et al. Convolutional Neural Networks for Epileptic Seizure Prediction , 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[19] Eberhard F. Kochs,et al. Non-stationarity of EEG during wakefulness and anaesthesia: advantages of EEG permutation entropy monitoring , 2014, Journal of Clinical Monitoring and Computing.
[20] Petr Klimes,et al. Intracerebral EEG Artifact Identification Using Convolutional Neural Networks , 2018, Neuroinformatics.
[21] A. Schulze-Bonhage,et al. Views of patients with epilepsy on seizure prediction devices , 2010, Epilepsy & Behavior.
[22] Philippa J. Karoly,et al. Interictal spikes and epileptic seizures: their relationship and underlying rhythmicity. , 2016, Brain : a journal of neurology.
[23] K. Lehnertz,et al. Seizure prediction — ready for a new era , 2018, Nature Reviews Neurology.
[24] P. Kwan,et al. Drug-resistant epilepsy. , 2011, The New England journal of medicine.
[25] David M. Himes,et al. Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study , 2013, The Lancet Neurology.
[26] Kate Chandler,et al. Canine epilepsy: what can we learn from human seizure disorders? , 2006, Veterinary journal.
[27] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[28] Wolfgang Baumgärtner,et al. Canine epilepsy as a translational model? , 2013, Epilepsia.
[29] Samuel Wiebe,et al. Long-term seizure outcomes following epilepsy surgery: a systematic review and meta-analysis. , 2005, Brain : a journal of neurology.
[30] R. Storn,et al. Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series) , 2005 .
[31] Jean Gotman,et al. High-frequency oscillations and other electrophysiological biomarkers of epilepsy: clinical studies. , 2011, Biomarkers in medicine.
[32] Robert S. Fisher,et al. Epilepsy from the Patient's Perspective: Review of Results of a Community-Based Survey , 2000, Epilepsy & Behavior.
[33] Brian Litt,et al. Crowdsourcing reproducible seizure forecasting in human and canine epilepsy , 2016, Brain : a journal of neurology.
[34] Shaohan Hu,et al. DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing , 2016, WWW.
[35] F. Mormann,et al. Seizure prediction: the long and winding road. , 2007, Brain : a journal of neurology.
[36] Risto Miikkulainen,et al. Designing neural networks through neuroevolution , 2019, Nat. Mach. Intell..
[37] B. Litt,et al. A novel implanted device to wirelessly record and analyze continuous intracranial canine EEG , 2011, Epilepsy Research.
[38] Brian Litt,et al. Correction: Forecasting Seizures Using Bivariate Intracranial EEG Measures and SVM in Naturally Occurring Canine Epilepsy , 2016, PloS one.
[39] P. Kwan,et al. Early identification of refractory epilepsy. , 2000, The New England journal of medicine.
[40] H. Høgenhaven,et al. Electroencephalography in dogs with epilepsy: similarities between human and canine findings , 1999, Acta neurologica Scandinavica.
[41] Florian Metze,et al. New Era for Robust Speech Recognition , 2017, Springer International Publishing.