196 related articles for article (PubMed ID: 24047117)
1. Detecting alpha spindle events in EEG time series using adaptive autoregressive models.
Lawhern V; Kerick S; Robbins KA
BMC Neurosci; 2013 Sep; 14():101. PubMed ID: 24047117
[TBL] [Abstract][Full Text] [Related]
2. Spindler: a framework for parametric analysis and detection of spindles in EEG with application to sleep spindles.
LaRocco J; Franaszczuk PJ; Kerick S; Robbins K
J Neural Eng; 2018 Dec; 15(6):066015. PubMed ID: 30132445
[TBL] [Abstract][Full Text] [Related]
3. A personalized semi-automatic sleep spindle detection (PSASD) framework.
Kafashan M; Gupte G; Kang P; Hyche O; Luong AH; Prateek GV; Ju YS; Palanca BJA
J Neurosci Methods; 2024 Jul; 407():110064. PubMed ID: 38301832
[TBL] [Abstract][Full Text] [Related]
4. 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; 3(2):201-40. PubMed ID: 17557427
[TBL] [Abstract][Full Text] [Related]
5. Emergence of synchronous EEG spindles from asynchronous MEG spindles.
Dehghani N; Cash SS; Halgren E
Hum Brain Mapp; 2011 Dec; 32(12):2217-27. PubMed ID: 21337472
[TBL] [Abstract][Full Text] [Related]
6. 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; 180(2):304-16. PubMed ID: 19383511
[TBL] [Abstract][Full Text] [Related]
7. Coupling of gamma band activity to sleep spindle oscillations - a combined EEG/MEG study.
Weber FD; Supp GG; Klinzing JG; Mölle M; Engel AK; Born J
Neuroimage; 2021 Jan; 224():117452. PubMed ID: 33059050
[TBL] [Abstract][Full Text] [Related]
8. Automated real-time EEG sleep spindle detection for brain-state-dependent brain stimulation.
Hassan U; Feld GB; Bergmann TO
J Sleep Res; 2022 Dec; 31(6):e13733. PubMed ID: 36130730
[TBL] [Abstract][Full Text] [Related]
9. Analysis of oscillatory patterns in the human sleep EEG using a novel detection algorithm.
Olbrich E; Achermann P
J Sleep Res; 2005 Dec; 14(4):337-46. PubMed ID: 16364134
[TBL] [Abstract][Full Text] [Related]
10. An automatic sleep spindle detector based on wavelets and the teager energy operator.
Ahmed B; Redissi A; Tafreshi R
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():2596-9. PubMed ID: 19965220
[TBL] [Abstract][Full Text] [Related]
11. Statistical analysis of sleep spindle occurrences.
Panas D; Malinowska U; Piotrowski T; Żygierewicz J; Suffczyński P
PLoS One; 2013; 8(4):e59318. PubMed ID: 23560045
[TBL] [Abstract][Full Text] [Related]
12. Topographical frequency dynamics within EEG and MEG sleep spindles.
Dehghani N; Cash SS; Halgren E
Clin Neurophysiol; 2011 Feb; 122(2):229-35. PubMed ID: 20637689
[TBL] [Abstract][Full Text] [Related]
13. Waveform detection by deep learning reveals multi-area spindles that are selectively modulated by memory load.
Mofrad MH; Gilmore G; Koller D; Mirsattari SM; Burneo JG; Steven DA; Khan AR; Suller Marti A; Muller L
Elife; 2022 Jun; 11():. PubMed ID: 35766286
[TBL] [Abstract][Full Text] [Related]
14. Spectral and temporal characterization of sleep spindles-methodological implications.
Gomez-Pilar J; Gutiérrez-Tobal GC; Poza J; Fogel S; Doyon J; Northoff G; Hornero R
J Neural Eng; 2021 Mar; 18(3):. PubMed ID: 33618345
[No Abstract] [Full Text] [Related]
15. Multichannel sleep spindle detection using sparse low-rank optimization.
Parekh A; Selesnick IW; Osorio RS; Varga AW; Rapoport DM; Ayappa I
J Neurosci Methods; 2017 Aug; 288():1-16. PubMed ID: 28600157
[TBL] [Abstract][Full Text] [Related]
16. Topographical characteristics and principal component structure of the hypnagogic EEG.
Tanaka H; Hayashi M; Hori T
Sleep; 1997 Jul; 20(7):523-34. PubMed ID: 9322268
[TBL] [Abstract][Full Text] [Related]
17. A sleep spindle detection algorithm that emulates human expert spindle scoring.
Lacourse K; Delfrate J; Beaudry J; Peppard P; Warby SC
J Neurosci Methods; 2019 Mar; 316():3-11. PubMed ID: 30107208
[TBL] [Abstract][Full Text] [Related]
18. Multichannel matching pursuit and EEG inverse solutions.
Durka PJ; Matysiak A; Montes EM; Sosa PV; Blinowska KJ
J Neurosci Methods; 2005 Oct; 148(1):49-59. PubMed ID: 15908012
[TBL] [Abstract][Full Text] [Related]
19. Detection of K-complexes and sleep spindles (DETOKS) using sparse optimization.
Parekh A; Selesnick IW; Rapoport DM; Ayappa I
J Neurosci Methods; 2015 Aug; 251():37-46. PubMed ID: 25956566
[TBL] [Abstract][Full Text] [Related]
20. 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; 2006():2438-41. PubMed ID: 17945715
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
