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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on medical imaging Ročník 37; číslo 11; s. 2474 - 2482
Hlavní autoři:	Guo, Jiayang, Yang, Kun, Liu, Hongyi, Yin, Chunli, Xiang, Jing, Li, Hailong, Ji, Rongrong, Gao, Yue
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.11.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!