A Stacked Sparse Autoencoder-Based Detector for Automatic Identification of Neuromagnetic High Frequency Oscillations in Epilepsy

High-frequency oscillations (HFOs) are spontaneous magnetoencephalography (MEG) patterns that have been acknowledged as a putative biomarker to identify epileptic foci. Correct detection of HFOs in the MEG signals is crucial for the accurate and timely clinical evaluation. Since the visual examinati...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on medical imaging Vol. 37; no. 11; pp. 2474 - 2482
Main Authors:	Guo, Jiayang, Yang, Kun, Liu, Hongyi, Yin, Chunli, Xiang, Jing, Li, Hailong, Ji, Rongrong, Gao, Yue
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.11.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adolescent Adult Algorithms Background noise Biomarkers brain Brain - diagnostic imaging Child Deep Learning deep learning model detector Detectors Epilepsy Epilepsy - diagnostic imaging Error detection Feature extraction Female Hafnium oxide Head High-frequency oscillations Humans Image Interpretation, Computer-Assisted - methods Machine learning Magnetoencephalography Magnetoencephalography - methods Male MEG Middle Aged Optimization Oscillations Performance measurement Sensitivity and Specificity Sensors Signal Processing, Computer-Assisted SSAE Surgery Young Adult
ISSN:	0278-0062, 1558-254X, 1558-254X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!