376 related articles for article (PubMed ID: 35742426)
1. An Automated Wavelet-Based Sleep Scoring Model Using EEG, EMG, and EOG Signals with More Than 8000 Subjects.
Sharma M; Yadav A; Tiwari J; Karabatak M; Yildirim O; Acharya UR
Int J Environ Res Public Health; 2022 Jun; 19(12):. PubMed ID: 35742426
[TBL] [Abstract][Full Text] [Related]
2. Automatic Sleep-Stage Scoring in Healthy and Sleep Disorder Patients Using Optimal Wavelet Filter Bank Technique with EEG Signals.
Sharma M; Tiwari J; Acharya UR
Int J Environ Res Public Health; 2021 Mar; 18(6):. PubMed ID: 33802799
[TBL] [Abstract][Full Text] [Related]
3. A novel automated robust dual-channel EEG-based sleep scoring system using optimal half-band pair linear-phase biorthogonal wavelet filter bank.
Sharma M; Makwana P; Chad RS; Acharya UR
Appl Intell (Dordr); 2023 Feb; ():1-19. PubMed ID: 36777881
[TBL] [Abstract][Full Text] [Related]
4. Automatic sleep stage classification based on a two-channel electrooculogram and one-channel electromyogram.
Li Y; Xu Z; Zhang Y; Cao Z; Chen H
Physiol Meas; 2022 Jul; 43(7):. PubMed ID: 35487205
[No Abstract] [Full Text] [Related]
5. An automatic sleep-scoring system in elderly women with osteoporosis fractures using frequency localized finite orthogonal quadrature Fejer Korovkin kernels.
Dakhale BJ; Sharma M; Arif M; Asthana K; Bhurane AA; Kothari AG; Rajendra Acharya U
Med Eng Phys; 2023 Feb; 112():103956. PubMed ID: 36842776
[TBL] [Abstract][Full Text] [Related]
6. Sleep stage classification using covariance features of multi-channel physiological signals on Riemannian manifolds.
Jiang D; Ma Y; Wang Y
Comput Methods Programs Biomed; 2019 Sep; 178():19-30. PubMed ID: 31416548
[TBL] [Abstract][Full Text] [Related]
7. Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals.
Sharma M; Kumbhani D; Tiwari J; Kumar TS; Acharya UR
Comput Biol Med; 2022 May; 144():105364. PubMed ID: 35299046
[TBL] [Abstract][Full Text] [Related]
8. Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals.
Sharma M; Dhiman HS; Acharya UR
Comput Biol Med; 2021 Apr; 131():104246. PubMed ID: 33631498
[TBL] [Abstract][Full Text] [Related]
9. An accurate sleep stages classification system using a new class of optimally time-frequency localized three-band wavelet filter bank.
Sharma M; Goyal D; Achuth PV; Acharya UR
Comput Biol Med; 2018 Jul; 98():58-75. PubMed ID: 29775912
[TBL] [Abstract][Full Text] [Related]
10. An E-health solution for automatic sleep classification according to Rechtschaffen and Kales: validation study of the Somnolyzer 24 x 7 utilizing the Siesta database.
Anderer P; Gruber G; Parapatics S; Woertz M; Miazhynskaia T; Klosch G; Saletu B; Zeitlhofer J; Barbanoj MJ; Danker-Hopfe H; Himanen SL; Kemp B; Penzel T; Grozinger M; Kunz D; Rappelsberger P; Schlogl A; Dorffner G
Neuropsychobiology; 2005; 51(3):115-33. PubMed ID: 15838184
[TBL] [Abstract][Full Text] [Related]
11. Scoring accuracy of automated sleep staging from a bipolar electroocular recording compared to manual scoring by multiple raters.
Stepnowsky C; Levendowski D; Popovic D; Ayappa I; Rapoport DM
Sleep Med; 2013 Nov; 14(11):1199-207. PubMed ID: 24047533
[TBL] [Abstract][Full Text] [Related]
12. Automated sleep stage scoring of the Sleep Heart Health Study using deep neural networks.
Zhang L; Fabbri D; Upender R; Kent D
Sleep; 2019 Oct; 42(11):. PubMed ID: 31289828
[TBL] [Abstract][Full Text] [Related]
13. Multichannel Sleep Stage Classification and Transfer Learning using Convolutional Neural Networks.
Andreotti F; Phan H; Cooray N; Lo C; Hu MTM; De Vos M
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():171-174. PubMed ID: 30440365
[TBL] [Abstract][Full Text] [Related]
14. Sleep stage classification using single-channel EOG.
Rahman MM; Bhuiyan MIH; Hassan AR
Comput Biol Med; 2018 Nov; 102():211-220. PubMed ID: 30170769
[TBL] [Abstract][Full Text] [Related]
15. A novel sleep stage scoring system: Combining expert-based features with the generalized linear model.
Gunnarsdottir KM; Gamaldo C; Salas RM; Ewen JB; Allen RP; Hu K; Sarma SV
J Sleep Res; 2020 Oct; 29(5):e12991. PubMed ID: 32030843
[TBL] [Abstract][Full Text] [Related]
16. Artificial neural network and wavelet based automated detection of sleep spindles, REM sleep and wake states.
Sinha RK
J Med Syst; 2008 Aug; 32(4):291-9. PubMed ID: 18619093
[TBL] [Abstract][Full Text] [Related]
17. An End-to-End Multi-Channel Convolutional Bi-LSTM Network for Automatic Sleep Stage Detection.
Toma TI; Choi S
Sensors (Basel); 2023 May; 23(10):. PubMed ID: 37430865
[TBL] [Abstract][Full Text] [Related]
18. Automated Characterization of Cyclic Alternating Pattern Using Wavelet-Based Features and Ensemble Learning Techniques with EEG Signals.
Sharma M; Patel V; Tiwari J; Acharya UR
Diagnostics (Basel); 2021 Jul; 11(8):. PubMed ID: 34441314
[TBL] [Abstract][Full Text] [Related]
19. Learning machines and sleeping brains: Automatic sleep stage classification using decision-tree multi-class support vector machines.
Lajnef T; Chaibi S; Ruby P; Aguera PE; Eichenlaub JB; Samet M; Kachouri A; Jerbi K
J Neurosci Methods; 2015 Jul; 250():94-105. PubMed ID: 25629798
[TBL] [Abstract][Full Text] [Related]
20. SleepSEEG: automatic sleep scoring using intracranial EEG recordings only.
von Ellenrieder N; Peter-Derex L; Gotman J; Frauscher B
J Neural Eng; 2022 May; 19(2):. PubMed ID: 35439736
[No Abstract] [Full Text] [Related]
[Next] [New Search]