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Items: 1 to 20 of 9696

1.

Screen-printed ambulatory electrode set enables accurate diagnostics of sleep bruxism.

Miettinen T, Myllymaa K, Muraja-Murro A, Westeren-Punnonen S, Hukkanen T, Töyräs J, Lappalainen R, Mervaala E, Sipilä K, Myllymaa S.

J Sleep Res. 2017 May 17. doi: 10.1111/jsr.12536. [Epub ahead of print]

PMID:
28513083
2.

An on-road study of sleepiness in split shifts among city bus drivers.

Anund A, Fors C, Ihlström J, Kecklund G.

Accid Anal Prev. 2017 May 12. pii: S0001-4575(17)30168-9. doi: 10.1016/j.aap.2017.05.005. [Epub ahead of print]

PMID:
28506403
3.

Sleep Architecture and Blood Pressure.

Jafari B.

Sleep Med Clin. 2017 Jun;12(2):161-166. doi: 10.1016/j.jsmc.2017.02.003. Epub 2017 Mar 25. Review.

PMID:
28477771
4.

An Automated Quiet Sleep Detection Approach in Preterm Infants as a Gateway to Assess Brain Maturation.

Dereymaeker A, Pillay K, Vervisch J, Van Huffel S, Naulaers G, Jansen K, De Vos M.

Int J Neural Syst. 2017 Feb 24:1750023. doi: 10.1142/S012906571750023X. [Epub ahead of print]

PMID:
28460602
5.

The Accuracy, Night-to-Night Variability, and Stability of Frontopolar Sleep Electroencephalography Biomarkers.

Levendowski DJ, Ferini-Strambi L, Gamaldo C, Cetel M, Rosenberg R, Westbrook PR.

J Clin Sleep Med. 2017 Apr 25. pii: jc-17-00039. [Epub ahead of print]

PMID:
28454598
6.

A high performing EEG approach for the automated scoring of the sleep stages of neonates.

Dimitriadis SI.

Clin Neurophysiol. 2017 Jun;128(6):1039-1040. doi: 10.1016/j.clinph.2017.04.001. Epub 2017 Apr 8. No abstract available.

PMID:
28438517
7.

[Distribution of electroencephalograph power density in patients with severe obstructive sleep apnea during different sleep stages].

Deng Y, Tian X, Chen BY, Zhou N, Xia M, Bai WW, Dou MM, Liu XY.

Zhonghua Jie He He Hu Xi Za Zhi. 2017 Apr 12;40(4):258-262. doi: 10.3760/cma.j.issn.1001-0939.2017.04.003. Chinese.

PMID:
28395403
8.

Nonlinear dynamical analysis of sleep electroencephalography using fractal and entropy approaches.

Ma Y, Shi W, Peng CK, Yang AC.

Sleep Med Rev. 2017 Jan 29. pii: S1087-0792(17)30018-7. doi: 10.1016/j.smrv.2017.01.003. [Epub ahead of print] Review.

PMID:
28392169
9.

Sleep pattern and spectral analysis of caregiver-mothers of sons with Duchenne muscular dystrophy, and an examination of differences between carriers and non-carriers.

Nozoe KT, Kim LJ, Polesel DN, Hirotsu C, Souza AL, Hachul H, Tufik SB, Tufik S, Andersen ML, Moreira GA.

Sleep Med. 2017 Apr;32:114-121. doi: 10.1016/j.sleep.2016.11.020. Epub 2017 Jan 4.

PMID:
28366322
10.

Physiological and pathological high-frequency oscillations have distinct sleep-homeostatic properties.

von Ellenrieder N, Dubeau F, Gotman J, Frauscher B.

Neuroimage Clin. 2017 Feb 24;14:566-573. doi: 10.1016/j.nicl.2017.02.018. eCollection 2017.

11.

Altered sleep homeostasis correlates with cognitive impairment in patients with focal epilepsy.

Boly M, Jones B, Findlay G, Plumley E, Mensen A, Hermann B, Tononi G, Maganti R.

Brain. 2017 Apr 1;140(4):1026-1040. doi: 10.1093/brain/awx017.

PMID:
28334879
12.

Driver drowsiness detection using the in-ear EEG.

Taeho Hwang, Miyoung Kim, Seunghyeok Hong, Kwang Suk Park.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:4646-4649. doi: 10.1109/EMBC.2016.7591763.

PMID:
28269310
13.

Sleep-spindle identification on EEG signals from polysomnographie recordings using correntropy.

Ulloa S, Estevez PA, Huijse P, Held CM, Perez CA, Chamorro R, Garrido M, Algarin C, Peirano P.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:3736-3739. doi: 10.1109/EMBC.2016.7591540.

PMID:
28269102
14.

An algorithm for automatic detection of drowsiness for use in wearable EEG systems.

Patrick KC, Imtiaz SA, Bowyer S, Rodriguez-Villegas E.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:3523-3526. doi: 10.1109/EMBC.2016.7591488.

PMID:
28269058
15.

Probabilistic characterization of sleep architecture: home based study on healthy volunteers.

Garcia-Molina G, Vissapragada S, Mahadevan A, Goodpaster R, Riedner B, Bellesi M, Tononi G.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:2834-2838. doi: 10.1109/EMBC.2016.7591320.

PMID:
28268907
16.

How many sleep stages do we need for an efficient automatic insomnia diagnosis?

Hamida ST, Glos M, Penzel T, Ahmed B.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:2431-2434. doi: 10.1109/EMBC.2016.7591221.

PMID:
28268816
17.

An efficient K-NN approach for automatic drowsiness detection using single-channel EEG recording.

Jalilifard A, Brigante Pizzolato E.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:820-824. doi: 10.1109/EMBC.2016.7590827.

PMID:
28268451
18.

Single-channel EEG-based mental fatigue detection based on deep belief network.

Pinyi Li, Wenhui Jiang, Fei Su.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:367-370. doi: 10.1109/EMBC.2016.7590716.

PMID:
28268351
19.

Utilization of a combined EEG/NIRS system to predict driver drowsiness.

Nguyen T, Ahn S, Jang H, Jun SC, Kim JG.

Sci Rep. 2017 Mar 7;7:43933. doi: 10.1038/srep43933.

20.

Design of a Fatigue Detection System for High-Speed Trains Based on Driver Vigilance Using a Wireless Wearable EEG.

Zhang X, Li J, Liu Y, Zhang Z, Wang Z, Luo D, Zhou X, Zhu M, Salman W, Hu G, Wang C.

Sensors (Basel). 2017 Mar 1;17(3). pii: E486. doi: 10.3390/s17030486.

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