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Items: 1 to 20 of 90

1.

Can state or response entropy be used as a measure of sleep depth?

Mahon P, Greene BR, Lynch EM, McNamara B, Shorten GD.

Anaesthesia. 2008 Dec;63(12):1309-13. doi: 10.1111/j.1365-2044.2008.05675.x.

2.

Bispectral index values and spectral edge frequency at different stages of physiologic sleep.

Nieuwenhuijs D, Coleman EL, Douglas NJ, Drummond GB, Dahan A.

Anesth Analg. 2002 Jan;94(1):125-9, table of contents.

PMID:
11772814
3.

Entropy-based measures for quantifying sleep-stage transition dynamics: relationship to sleep fragmentation and daytime sleepiness.

Kirsch MR, Monahan K, Weng J, Redline S, Loparo KA.

IEEE Trans Biomed Eng. 2012 Mar;59(3):787-96. doi: 10.1109/TBME.2011.2179032. Epub 2011 Dec 9.

PMID:
22167554
4.

Non-linear analysis of the sleep EEG.

Kobayashi T, Misaki K, Nakagawa H, Madokoro S, Ihara H, Tsuda K, Umezawa Y, Murayama J, Isaki K.

Psychiatry Clin Neurosci. 1999 Apr;53(2):159-61.

5.

Improved computational fronto-central sleep depth parameters show differences between apnea patients and control subjects.

Huupponen E, Saunamäki T, Saastamoinen A, Kulkas A, Tenhunen M, Himanen SL.

Med Biol Eng Comput. 2009 Jan;47(1):3-10. doi: 10.1007/s11517-008-0374-3. Epub 2008 Aug 5.

PMID:
18679736
6.
7.

[A study of sleep stage classification based on permutation entropy for electroencephalogram].

Li G, Fan Y, Pang Q.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2009 Aug;26(4):869-72. Chinese.

PMID:
19813629
8.

Sample entropy tracks changes in electroencephalogram power spectrum with sleep state and aging.

Bruce EN, Bruce MC, Vennelaganti S.

J Clin Neurophysiol. 2009 Aug;26(4):257-66. doi: 10.1097/WNP.0b013e3181b2f1e3.

9.

Spectral entropy as a monitor of depth of propofol induced sedation.

Mahon P, Kowalski RG, Fitzgerald AP, Lynch EM, Boylan GB, McNamara B, Shorten GD.

J Clin Monit Comput. 2008 Apr;22(2):87-93. doi: 10.1007/s10877-008-9109-0. Epub 2008 Feb 6.

PMID:
18253846
10.

Sleep stage dependent patterns of nonlinear heart rate dynamics in postmenopausal women.

Virtanen I, Ekholm E, Polo-Kantola P, Huikuri H.

Auton Neurosci. 2007 Jul 31;134(1-2):74-80. Epub 2007 Feb 26.

PMID:
17321802
11.
12.

Identification of deep sleep and awake with computational EEG measures.

Huupponen E, Kulkas A, Saastamoinen A, Tenhunen M, Himanen SL.

J Med Syst. 2011 Dec;35(6):1413-20. doi: 10.1007/s10916-009-9418-y. Epub 2010 Jan 6.

PMID:
20703776
13.
14.

Performance of entropy and Bispectral Index as measures of anaesthesia effect in children of different ages.

Davidson AJ, Huang GH, Rebmann CS, Ellery C.

Br J Anaesth. 2005 Nov;95(5):674-9. Epub 2005 Sep 23.

15.

Human sleep EEG analysis using the correlation dimension.

Kobayashi T, Madokoro S, Wada Y, Misaki K, Nakagawa H.

Clin Electroencephalogr. 2001 Jul;32(3):112-8.

PMID:
11512374
16.

Spatio-temporal analysis of monofractal and multifractal properties of the human sleep EEG.

Weiss B, Clemens Z, Bódizs R, Vágó Z, Halász P.

J Neurosci Methods. 2009 Dec 15;185(1):116-24. doi: 10.1016/j.jneumeth.2009.07.027. Epub 2009 Jul 29.

PMID:
19646476
17.

A rule-based automatic sleep staging method.

Liang SF, Kuo CE, Hu YH, Cheng YS.

J Neurosci Methods. 2012 Mar 30;205(1):169-76. doi: 10.1016/j.jneumeth.2011.12.022. Epub 2012 Jan 9.

PMID:
22245090
18.

NREM sleep staging using WAV(CNS) index.

Agrawal G, Modarres M, Zikov T, Bibian S.

J Clin Monit Comput. 2011 Apr;25(2):137-42. doi: 10.1007/s10877-011-9290-4. Epub 2011 Jul 21.

PMID:
21789744
19.

Processed EEG in natural sleep.

Nieuwenhuijs DJ.

Best Pract Res Clin Anaesthesiol. 2006 Mar;20(1):49-56. Review.

PMID:
16634413
20.

[Studies with the fully automated EEG sleep analysis system QUISI].

Gfüllner F, Siemon G.

Pneumologie. 2000 Dec;54(12):580-3. German.

PMID:
11199117
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