Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mei-Lin Luo"'
Publikováno v:
International Journal of Systems Science. 48:2658-2668
An efficient time-varying autoregressive (TVAR) modelling scheme that expands the time-varying parameters onto the multi-scale wavelet basis functions is presented for modelling nonstationary signals and with applications to time–frequency analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e50e38a91acf44a5e9d89530f8d426a1
https://doi.org/10.1080/00207721.2017.1340986
https://doi.org/10.1080/00207721.2017.1340986
Publikováno v:
Neurocomputing. 193:106-114
An efficient multiwavelet-based time-varying modeling scheme is proposed for time-frequency analysis (TFA) of electroencephalogram (EEG) data. In the new multiwavelet-based parametric modeling framework, the time-dependent parameters in the time-vary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a54ecdf216fa7af9b26ba95144a63f90
https://doi.org/10.1016/j.neucom.2016.01.062
https://doi.org/10.1016/j.neucom.2016.01.062
Publikováno v:
International journal of neural systems. 28(7)
The electroencephalogram (EEG) signal analysis is a valuable tool in the evaluation of neurological disorders, which is commonly used for the diagnosis of epileptic seizures. This paper presents a novel automatic EEG signal classification method for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2133283a0892692f49b4303251ad430
https://pubmed.ncbi.nlm.nih.gov/29607682
https://pubmed.ncbi.nlm.nih.gov/29607682
Publikováno v:
Entropy, Vol 19, Iss 6, p 222 (2017)
Entropy; Volume 19; Issue 6; Pages: 222
Entropy; Volume 19; Issue 6; Pages: 222
Epileptic seizure detection is commonly implemented by expert clinicians with visual observation of electroencephalography (EEG) signals, which tends to be time consuming and sensitive to bias. The epileptic detection in most previous research suffer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::528ee6a23d4c86aa903cce8ffd080991
http://www.mdpi.com/1099-4300/19/6/222
http://www.mdpi.com/1099-4300/19/6/222
Publikováno v:
IEEE journal of biomedical and health informatics. 22(2)
The automatic detection of epileptic seizures from electroencephalography (EEG) signals is crucial for the localization and classification of epileptic seizure activity. However, seizure processes are typically dynamic and nonstationary, and thus, di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aebe531848ab04273885814b03490316
https://pubmed.ncbi.nlm.nih.gov/28362595
https://pubmed.ncbi.nlm.nih.gov/28362595
Autor:
Minjeong Kim, Mei-Lin Luo, Pew Thian Yap, Yang Li, Chong Yaw Wee, Dinggang Shen, Ke Li, Jingyu Liu
Publikováno v:
Machine Learning in Medical Imaging ISBN: 9783319673882
MLMI@MICCAI
MLMI@MICCAI
Recent advances in network modelling techniques have enabled the study of neurological disorders at a whole-brain level based on functional connectivity inferred from resting-state magnetic resonance imaging (rs-fMRI) scan possible. However, construc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8eb661f298ccbc19b5787fc88327c91
https://doi.org/10.1007/978-3-319-67389-9_35
https://doi.org/10.1007/978-3-319-67389-9_35
Autor:
Michael J. Quon, Mei Lin Luo, Lawrence M. Nelson, Gail Sullivan, Carolyn A. Bondy, Jack A. Yanovski, Vladimir K. Bakalov, Margaret Cooley
Publikováno v:
The Journal of Clinical Endocrinology & Metabolism. 89:3516-3520
An increased prevalence of impaired glucose homeostasis (IGH) and diabetes mellitus is reported in monosomy X, or Turner syndrome (TS). To determine whether IGH is an intrinsic feature of this syndrome, independent of obesity or hypogonadism, we comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dda8026955577f521b5509636a2dfcf8
https://doi.org/10.1210/jc.2004-0122
https://doi.org/10.1210/jc.2004-0122