Results 41 to 50 of about 236,683 (245)

A first attempt at constructing genetic programming expressions for EEG classification [PDF]

, 2005
Proceeding of: 15th International Conference on Artificial Neural Networks ICANN 2005, Poland, 11-15 September, 2005In BCI (Brain Computer Interface) research, the classification of EEG signals is a domain where raw data has to undergo some preprocessing,
Estébanez Tascón, César, Galván, Inés M., Inés M. Galván, Aler, Ricardo, Estébanez, César, José M. Valls, Valls, José M., Ricardo Aler, César Estébanez   +8 more
core   +1 more source

Techniques to Assess Stationarity and Gaussianity of EEG: An Overview [PDF]

International Journal Bioautomation, 2012
Often, while analyzing naturally generated signals (such as speech, seismogram, electroencephalogram, etc.), questions of stationarity and Gaussianity (normality) arise.
Fahrettin F. Gonen, Gleb V. Tcheslavski
doaj  

Comparison of Automated Machine Learning (AutoML) Tools for Epileptic Seizure Detection Using Electroencephalograms (EEG)

Computers, 2023
Epilepsy is a neurological disease characterized by recurrent seizures caused by abnormal electrical activity in the brain. One of the methods used to diagnose epilepsy is through electroencephalogram (EEG) analysis.
Swetha Lenkala, Revathi Marry, Susmitha Reddy Gopovaram, Tahir Cetin Akinci, Oguzhan Topsakal   +4 more
doaj   +1 more source

Deep generative adversarial networks with marine predators algorithm for classification of Alzheimer’s disease using electroencephalogram

Journal of King Saud University: Computer and Information Sciences, 2023
Alzheimer's disease (AD) is a neurological disorder characterized by cognitive decline and memory loss. An early and precise diagnosis of Alzheimer's disease is critical for effective therapy and management.
J.C. Sekhar, Ch Rajyalakshmi, S. Nagaraj, S. Sankar, Rajesh Saturi, A. Harshavardhan   +5 more
doaj   +1 more source

Difference in spectral power density of sleep electroencephalography in individuals with or without insomnia

European Psychiatry, 2022
Introduction Power spectral analysis is the most common method of quantitative electroencephalogram (qEEG) techniques and enables investigation of the microstructure of insomnia.
J.M. Kang, S.-E. Cho, S.-G. Kang
doaj   +1 more source

Clinical Outcomes of SEEG‐Guided Radiofrequency Thermocoagulation in Children With Focal Drug‐Resistant Epilepsy: A Multicenter Real‐World Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) has emerged as a safe and effective minimally invasive treatment for children with drug‐resistant focal epilepsy. Although evidence from real‐world studies remains limited, numerous pediatric cases have demonstrated promising outcomes. This retrospective
Weitao Chen, Stéphane Jean, Weihong Liu, Yihai Dai, Xinrong Fang, Xiaoqiang Wei, Shan Chen, Shiwei Song   +7 more
wiley   +1 more source

Multi-channel Sonification of Human EEG [PDF]

, 2007
Baier G, Hermann T, Stephani U. Multi-channel Sonification of Human EEG. In: Martens WL, ed. Proceedings of the 13th International Conference on Auditory Display.
Baier, Gerold, Stephani, Ulrich, Hermann, Thomas ; https://orcid.org/, Martens, William L.   +3 more
core  

Klassifizierung psychotroper Substanzen nach deren Wirkung auf das Corticale und Hippocampale Wach-EEG der Ratte [PDF]

, 1986
An chronisch mit Ableitelektroden im parietalen Cortex und im dorsalen Hippocampus versehenen Ratten wurde die Wirkung verschiedener i.p. Dosen von Referenzpsychopharmaka auf das quantifizierte EEG untersucht.
Dürmüller, Niklaus
core   +1 more source

Child-Onset Cerebellar Ataxia Caused by Two Compound Heterozygous Variants in ADPRS Gene: A Case Report

Frontiers in Genetics, 2022
Background: Gene variants of ADP-ribosylserine hydrosylase, also known as ADP-ribosylhydrolase-like 2 (ADPRS or ADPRLH2; OMIM: 610624), can cause stress-induced childhood-onset neurodegeneration with variable ataxia and seizures (CONDSIAS, OMIM: 618170),
Jiehui Ma, Qiaoqiao Qian, Shuang Yan, Haoyu Dou, Cheng Li, Dan Sun   +5 more
doaj   +1 more source

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu, Xin Duan, Fatemeh Peymani, Jia Wang, Chengjia Bao, Chaolong Xu, Ying Zou, Zixuan Zhang, Yunxi Zhang, Tongyue Li, Martin Pavlov, Junling Wang, Minhan Song, Tianyu Song, Xiaodi Han, Mingxi Sun, Danmin Shen, Ruoyu Duan, Huafang Jiang, Manting Xu, Holger Prokisch, Fang Fang   +21 more
wiley   +1 more source