Unsupervised automatic seizure detection for focal-onset seizures recorded with behind-the-ear EEG using an anomaly-detecting generative adversarial network
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Baek Hwan Cho | Joo Young Kim | In Young Kim | Sungmin You | Young-Min Shon | Soonhyun Yook | Dae-Won Seo | S. Yook | D. Seo | B. Cho | Y. Shon | In Young Kim | Sungmin You | J. Kim | I. Kim
[1] Ahmed Lakhssassi,et al. Temporal epilepsy seizures monitoring and prediction using cross-correlation and chaos theory. , 2014, Healthcare technology letters.
[2] J. H. Cross,et al. ILAE Official Report: A practical clinical definition of epilepsy , 2014, Epilepsia.
[3] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[4] G. Lindinger,et al. Prospective multi-center study of an automatic online seizure detection system for epilepsy monitoring units , 2015, Clinical Neurophysiology.
[5] Leon A. Gatys,et al. Image Style Transfer Using Convolutional Neural Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[7] Georg Langs,et al. Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery , 2017, IPMI.
[8] H. Adeli,et al. Analysis of EEG records in an epileptic patient using wavelet transform , 2003, Journal of Neuroscience Methods.
[9] Preben Kidmose,et al. In-Ear EEG From Viscoelastic Generic Earpieces: Robust and Unobtrusive 24/7 Monitoring , 2016, IEEE Sensors Journal.
[10] Jae Chul Yoo,et al. Development of an automatic muscle atrophy measuring algorithm to calculate the ratio of supraspinatus in supraspinous fossa using deep learning , 2019, Comput. Methods Programs Biomed..
[11] Christoph Baumgartner,et al. Seizure detection using scalp‐EEG , 2018, Epilepsia.
[12] C. Elger,et al. Epilepsy: accuracy of patient seizure counts. , 2007, Archives of neurology.
[13] P. Pattynama,et al. Receiver operating characteristic (ROC) analysis: basic principles and applications in radiology. , 1998, European journal of radiology.
[14] S. Debener,et al. Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear , 2015, Scientific Reports.
[15] Elisabeth Pauli,et al. When do patients forget their seizures? An electroclinical study , 2006, Epilepsy & Behavior.
[16] U. Rajendra Acharya,et al. Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals , 2017, Comput. Biol. Medicine.
[17] Frank Gilliam,et al. Significance of interictal temporal lobe delta activity for localization of the primary epileptogenic region , 1999, Neurology.
[18] Yuan Yu,et al. TensorFlow: A system for large-scale machine learning , 2016, OSDI.
[19] Martial Hebert,et al. A Discriminative Framework for Anomaly Detection in Large Videos , 2016, ECCV.
[20] T. Mihara,et al. Awareness and Responsiveness During Partial Seizures , 1998, Epilepsia.
[21] U. Rajendra Acharya,et al. Automated EEG analysis of epilepsy: A review , 2013, Knowl. Based Syst..
[22] S. Debener,et al. Concealed, Unobtrusive Ear-Centered EEG Acquisition: cEEGrids for Transparent EEG , 2017, Front. Hum. Neurosci..
[23] Han-Jeong Hwang,et al. Effects of Different Re-referencing Methods on Spontaneously Generated Ear-EEG , 2019, Front. Neurosci..
[24] S. Debener,et al. How about taking a low-cost, small, and wireless EEG for a walk? , 2012, Psychophysiology.
[25] Stefania Matteoli,et al. An Overview of Background Modeling for Detection of Targets and Anomalies in Hyperspectral Remotely Sensed Imagery , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[26] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[27] P. Kidmose,et al. Ear-EEG detects ictal and interictal abnormalities in focal and generalized epilepsy – A comparison with scalp EEG monitoring , 2017, Clinical Neurophysiology.
[28] Chuan Li,et al. Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks , 2016, ECCV.
[29] K. Rosenkranz,et al. An in-the-ear platform for recording electroencephalogram , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[30] Guang Yang,et al. DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction , 2018, IEEE Transactions on Medical Imaging.
[31] Wim Van Paesschen,et al. Comparison between Scalp EEG and Behind-the-Ear EEG for Development of a Wearable Seizure Detection System for Patients with Focal Epilepsy , 2017, Sensors.
[32] D. Jang,et al. A data-driven artificial intelligence model for remote triage in the prehospital environment , 2018, PloS one.