218 related articles for article (PubMed ID: 27528379)
41. DOSED: A deep learning approach to detect multiple sleep micro-events in EEG signal.
Chambon S; Thorey V; Arnal PJ; Mignot E; Gramfort A
J Neurosci Methods; 2019 Jun; 321():64-78. PubMed ID: 30946878
[TBL] [Abstract][Full Text] [Related]
42. Multi-channel EEG-based sleep staging using brain functional connectivity and domain adaptation.
Yuan W; Xiang W; Si K; Yang C; Zhao L; Li J; Liu C
Physiol Meas; 2023 Oct; 44(10):. PubMed ID: 37827169
[No Abstract] [Full Text] [Related]
43. Iterative expert-in-the-loop classification of sleep PSG recordings using a hierarchical clustering.
Gerla V; Kremen V; Macas M; Dudysova D; Mladek A; Sos P; Lhotska L
J Neurosci Methods; 2019 Apr; 317():61-70. PubMed ID: 30738880
[TBL] [Abstract][Full Text] [Related]
44. EEG-Based Emotion Recognition Using Quadratic Time-Frequency Distribution.
Alazrai R; Homoud R; Alwanni H; Daoud MI
Sensors (Basel); 2018 Aug; 18(8):. PubMed ID: 30127311
[TBL] [Abstract][Full Text] [Related]
45. Generalizability of Frequency Weighting Curve for Extraction of Spectral Drowsy Component From the EEG Signals Recorded in Eyes-Closed Condition.
Putilov AA; Donskaya OG; Verevkin EG
Clin EEG Neurosci; 2017 Jul; 48(4):259-269. PubMed ID: 27733638
[TBL] [Abstract][Full Text] [Related]
46. Estimating sleep parameters using nasal pressure signals applicable to continuous positive airway pressure devices.
Park JU; Erdenebayar U; Joo EY; Lee KJ
Physiol Meas; 2017 Jun; 38(7):1441-1455. PubMed ID: 28489018
[TBL] [Abstract][Full Text] [Related]
47. Tensor based singular spectrum analysis for automatic scoring of sleep EEG.
Kouchaki S; Sanei S; Arbon EL; Dijk DJ
IEEE Trans Neural Syst Rehabil Eng; 2015 Jan; 23(1):1-9. PubMed ID: 24951703
[TBL] [Abstract][Full Text] [Related]
48. A decision support system for automatic sleep staging from EEG signals using tunable Q-factor wavelet transform and spectral features.
Hassan AR; Bhuiyan MI
J Neurosci Methods; 2016 Sep; 271():107-18. PubMed ID: 27456762
[TBL] [Abstract][Full Text] [Related]
49. When does this cortical area drop off? Principal component structuring of the EEG spectrum yields yes-or-no criteria of local sleep onset.
Putilov AA
Physiol Behav; 2014 Jun; 133():115-21. PubMed ID: 24878318
[TBL] [Abstract][Full Text] [Related]
50. An Intelligent Sleep Apnea Classification System Based on EEG Signals.
Vimala V; Ramar K; Ettappan M
J Med Syst; 2019 Jan; 43(2):36. PubMed ID: 30617508
[TBL] [Abstract][Full Text] [Related]
51. Sleep stage classification in EEG signals using the clustering approach based probability distribution features coupled with classification algorithms.
Al-Salman W; Li Y; Oudah AY; Almaged S
Neurosci Res; 2023 Mar; 188():51-67. PubMed ID: 36152918
[TBL] [Abstract][Full Text] [Related]
52. Subdural EEG classification into seizure and nonseizure files using neural networks in the gamma frequency band.
Ayala M; Cabrerizo M; Jayakar P; Adjouadi M
J Clin Neurophysiol; 2011 Feb; 28(1):20-9. PubMed ID: 21221013
[TBL] [Abstract][Full Text] [Related]
53. A comparative study on classification of sleep stage based on EEG signals using feature selection and classification algorithms.
Şen B; Peker M; Çavuşoğlu A; Çelebi FV
J Med Syst; 2014 Mar; 38(3):18. PubMed ID: 24609509
[TBL] [Abstract][Full Text] [Related]
54. 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. PubMed ID: 25779627
[TBL] [Abstract][Full Text] [Related]
55. Kernel machines for epilepsy diagnosis via EEG signal classification: a comparative study.
Lima CA; Coelho AL
Artif Intell Med; 2011 Oct; 53(2):83-95. PubMed ID: 21852077
[TBL] [Abstract][Full Text] [Related]
56. Deep convolutional neural network for classification of sleep stages from single-channel EEG signals.
Mousavi Z; Yousefi Rezaii T; Sheykhivand S; Farzamnia A; Razavi SN
J Neurosci Methods; 2019 Aug; 324():108312. PubMed ID: 31201824
[TBL] [Abstract][Full Text] [Related]
57. Waking and sleep electroencephalogram variables as human sleep homeostatic process biomarkers after drug administration.
Giménez S; Romero S; Mañanas MA; Barbanoj MJ
Neuropsychobiology; 2011; 63(4):252-60. PubMed ID: 21494053
[TBL] [Abstract][Full Text] [Related]
58. Optimizing detection and analysis of slow waves in sleep EEG.
Mensen A; Riedner B; Tononi G
J Neurosci Methods; 2016 Dec; 274():1-12. PubMed ID: 27663980
[TBL] [Abstract][Full Text] [Related]
59. Using off-the-shelf lossy compression for wireless home sleep staging.
Lan KC; Chang DW; Kuo CE; Wei MZ; Li YH; Shaw FZ; Liang SF
J Neurosci Methods; 2015 May; 246():142-52. PubMed ID: 25791015
[TBL] [Abstract][Full Text] [Related]
60. [Automatic Sleep Staging Method Based on Energy Features and Least Squares Support Vector Machine Classifier].
Gao Q; Zhou J; Ye B; Wu X
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2015 Jun; 32(3):531-6. PubMed ID: 26485973
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
