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Items: 1 to 20 of 135

1.

Detecting alpha spindle events in EEG time series using adaptive autoregressive models.

Lawhern V, Kerick S, Robbins KA.

BMC Neurosci. 2013 Sep 18;14:101. doi: 10.1186/1471-2202-14-101.

2.

The visual scoring of sleep and arousal in infants and children.

Grigg-Damberger M, Gozal D, Marcus CL, Quan SF, Rosen CL, Chervin RD, Wise M, Picchietti DL, Sheldon SH, Iber C.

J Clin Sleep Med. 2007 Mar 15;3(2):201-40. Review.

PMID:
17557427
3.

Sleep spindles and spike-wave discharges in EEG: Their generic features, similarities and distinctions disclosed with Fourier transform and continuous wavelet analysis.

Sitnikova E, Hramov AE, Koronovsky AA, van Luijtelaar G.

J Neurosci Methods. 2009 Jun 15;180(2):304-16. doi: 10.1016/j.jneumeth.2009.04.006. Epub 2009 Apr 19.

PMID:
19383511
4.

Emergence of synchronous EEG spindles from asynchronous MEG spindles.

Dehghani N, Cash SS, Halgren E.

Hum Brain Mapp. 2011 Dec;32(12):2217-27. doi: 10.1002/hbm.21183. Epub 2011 Feb 17.

5.
6.

An automatic sleep spindle detector based on wavelets and the teager energy operator.

Ahmed B, Redissi A, Tafreshi R.

Conf Proc IEEE Eng Med Biol Soc. 2009;2009:2596-9. doi: 10.1109/IEMBS.2009.5335331.

PMID:
19965220
7.

Topographical characteristics and principal component structure of the hypnagogic EEG.

Tanaka H, Hayashi M, Hori T.

Sleep. 1997 Jul;20(7):523-34.

PMID:
9322268
8.

Topographical frequency dynamics within EEG and MEG sleep spindles.

Dehghani N, Cash SS, Halgren E.

Clin Neurophysiol. 2011 Feb;122(2):229-35. doi: 10.1016/j.clinph.2010.06.018. Epub 2010 Jul 15.

9.

Statistical analysis of sleep spindle occurrences.

Panas D, Malinowska U, Piotrowski T, Żygierewicz J, Suffczyński P.

PLoS One. 2013;8(4):e59318. doi: 10.1371/journal.pone.0059318. Epub 2013 Apr 1.

10.

Multichannel matching pursuit and EEG inverse solutions.

Durka PJ, Matysiak A, Montes EM, Sosa PV, Blinowska KJ.

J Neurosci Methods. 2005 Oct 15;148(1):49-59.

PMID:
15908012
11.

Detection of K-complexes and sleep spindles (DETOKS) using sparse optimization.

Parekh A, Selesnick IW, Rapoport DM, Ayappa I.

J Neurosci Methods. 2015 Aug 15;251:37-46. doi: 10.1016/j.jneumeth.2015.04.006. Epub 2015 May 6.

PMID:
25956566
12.

Modeling the time-varying microstructure of simulated sleep EEG spindles using time-frequency analysis methods.

Xanthopoulos P, Golemati S, Sakkalis V, Ktonas PY, Zervakis M, Soldatos CR.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:2438-41.

PMID:
17945715
13.

Grouping of MEG gamma oscillations by EEG sleep spindles.

Ayoub A, Mölle M, Preissl H, Born J.

Neuroimage. 2012 Jan 16;59(2):1491-500. doi: 10.1016/j.neuroimage.2011.08.023. Epub 2011 Aug 27.

PMID:
21893206
14.

EEG-fMRI reciprocal functional neuroimaging.

Yang L, Liu Z, He B.

Clin Neurophysiol. 2010 Aug;121(8):1240-50. doi: 10.1016/j.clinph.2010.02.153. Epub 2010 Apr 8.

15.

Independent component analysis for source localization of EEG sleep spindle components.

Ventouras EM, Ktonas PY, Tsekou H, Paparrigopoulos T, Kalatzis I, Soldatos CR.

Comput Intell Neurosci. 2010:329436. doi: 10.1155/2010/329436. Epub 2010 Mar 29.

16.

Topographic mapping of electroencephalography coherence in hypnagogic state.

Tanaka H, Hayashi M, Hori T.

Psychiatry Clin Neurosci. 1998 Apr;52(2):147-8.

17.

Effect of prolonged wakefulness on electroencephalographic oscillatory activity during sleep.

Olbrich E, Landolt HP, Achermann P.

J Sleep Res. 2014 Jun;23(3):253-60. doi: 10.1111/jsr.12123. Epub 2013 Dec 26.

18.

Sleep spindle detection using artificial neural networks trained with filtered time-domain EEG: a feasibility study.

Ventouras EM, Monoyiou EA, Ktonas PY, Paparrigopoulos T, Dikeos DG, Uzunoglu NK, Soldatos CR.

Comput Methods Programs Biomed. 2005 Jun;78(3):191-207. Epub 2005 Apr 25.

PMID:
15899305
19.

Improved spindle detection through intuitive pre-processing of electroencephalogram.

Jaleel A, Ahmed B, Tafreshi R, Boivin DB, Streletz L, Haddad N.

J Neurosci Methods. 2014 Aug 15;233:1-12. doi: 10.1016/j.jneumeth.2014.05.009. Epub 2014 Jun 2.

PMID:
24887741
20.

Enhanced automated sleep spindle detection algorithm based on synchrosqueezing.

Kabir MM, Tafreshi R, Boivin DB, Haddad N.

Med Biol Eng Comput. 2015 Jul;53(7):635-44. doi: 10.1007/s11517-015-1265-z. Epub 2015 Mar 17.

PMID:
25779627

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