185 related articles for article (PubMed ID: 18002672)
1. Additive and multiplicative noise reduction by back propagation neural network.
Chen Y; Akutagawa M; Katayama M; Zhang Q; Kinouchi Y
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():3184-7. PubMed ID: 18002672
[TBL] [Abstract][Full Text] [Related]
2. Neural network based EEG denoising.
Chen Y; Akutagawa M; Katayama M; Zhang Q; Kinouchi Y
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():262-5. PubMed ID: 19162643
[TBL] [Abstract][Full Text] [Related]
3. The removal of EMG in EEG by neural networks.
Chen Y; Akutagawa M; Emoto T; Kinouchi Y
Physiol Meas; 2010 Dec; 31(12):1567-84. PubMed ID: 20980716
[TBL] [Abstract][Full Text] [Related]
4. Adaptive noise canceling of electrocardiogram artifacts in single channel electroencephalogram.
Cho SP; Song MH; Park YC; Choi HS; Lee KJ
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():3278-81. PubMed ID: 18002695
[TBL] [Abstract][Full Text] [Related]
5. Improving phase congruency for EEG data reduction.
Logesparan L; Rodriguez-Villegas E
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():642-5. PubMed ID: 21096544
[TBL] [Abstract][Full Text] [Related]
6. Automated filtering of common-mode artifacts in multichannel physiological recordings.
Kelly JW; Siewiorek DP; Smailagic A; Wang W
IEEE Trans Biomed Eng; 2013 Oct; 60(10):2760-70. PubMed ID: 23708770
[TBL] [Abstract][Full Text] [Related]
7. R-point detection for noise affected ECG recording through signal segmentation.
Galeano M; Calisto A; Bramanti A; Serrano S; Campobello G; Azzerboni B
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():638-41. PubMed ID: 21096543
[TBL] [Abstract][Full Text] [Related]
8. Elman neural networks for dynamic modeling of epileptic EEG.
Kannathal N; Puthusserypady SK; Min LC
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():6145-8. PubMed ID: 17945939
[TBL] [Abstract][Full Text] [Related]
9. Nonlinear dimensionality reduction of electroencephalogram (EEG) for Brain Computer interfaces.
Teli MN; Anderson C
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():2486-9. PubMed ID: 19964967
[TBL] [Abstract][Full Text] [Related]
10. Early driver fatigue detection from electroencephalography signals using artificial neural networks.
King LM; Nguyen HT; Lal SK
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2187-90. PubMed ID: 17945698
[TBL] [Abstract][Full Text] [Related]
11. EEG analysis using moving average-type neural network.
Murata T; Akutagawa M; Kaji Y; Shichijou F; Nagashino H; Kinouchi Y
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():169-72. PubMed ID: 19162620
[TBL] [Abstract][Full Text] [Related]
12. Mitigation of ocular artifacts for EEG signal using improved earth worm optimization-based neural network and lifting wavelet transform.
Prasad DS; Chanamallu SR; Prasad KS
Comput Methods Biomech Biomed Engin; 2021 Apr; 24(5):551-578. PubMed ID: 33245687
[TBL] [Abstract][Full Text] [Related]
13. Denoising depth EEG signals during DBS using filtering and subspace decomposition.
Hofmanis J; Caspary O; Louis-Dorr V; Ranta R; Maillard L
IEEE Trans Biomed Eng; 2013 Oct; 60(10):2686-95. PubMed ID: 23674415
[TBL] [Abstract][Full Text] [Related]
14. Automated artifact removal from the electroencephalogram: a comparative study.
Daly I; Nicolaou N; Nasuto SJ; Warwick K
Clin EEG Neurosci; 2013 Oct; 44(4):291-306. PubMed ID: 23666954
[TBL] [Abstract][Full Text] [Related]
15. Multichannel-based newborn EEG seizure detection using time-frequency matched filter.
Khlif MS; Mesbah M; Boashash B; Colditz P
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():1265-8. PubMed ID: 18002193
[TBL] [Abstract][Full Text] [Related]
16. On estimating the signal subspace dimension of high-density multichannel magnetoencephalogram measurements.
Hesse CW
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():6228-31. PubMed ID: 18003444
[TBL] [Abstract][Full Text] [Related]
17. Removal of ECG artifacts from EEG using a modified independent component analysis approach.
Devuyst S; Dutoit T; Stenuit P; Kerkhofs M; Stanus E
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5204-7. PubMed ID: 19163890
[TBL] [Abstract][Full Text] [Related]
18. Detection of eye blink artifacts from single prefrontal channel electroencephalogram.
Chang WD; Cha HS; Kim K; Im CH
Comput Methods Programs Biomed; 2016 Feb; 124():19-30. PubMed ID: 26560852
[TBL] [Abstract][Full Text] [Related]
19. Automatic sleep stage classification based on EEG signals by using neural networks and wavelet packet coefficients.
Ebrahimi F; Mikaeili M; Estrada E; Nazeran H
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():1151-4. PubMed ID: 19162868
[TBL] [Abstract][Full Text] [Related]
20. Neural network classification of autoregressive features from electroencephalogram signals for brain-computer interface design.
Huan NJ; Palaniappan R
J Neural Eng; 2004 Sep; 1(3):142-50. PubMed ID: 15876633
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
