118 related articles for article (PubMed ID: 11413061)
1. Adaptive independent component analysis of multichannel electrogastrograms.
Liang H
Med Eng Phys; 2001 Mar; 23(2):91-7. PubMed ID: 11413061
[TBL] [Abstract][Full Text] [Related]
2. Extraction of gastric slow waves from electrogastrograms: combining independent component analysis and adaptive signal enhancement.
Liang H
Med Biol Eng Comput; 2005 Mar; 43(2):245-51. PubMed ID: 15865135
[TBL] [Abstract][Full Text] [Related]
3. Blind separation of multichannel electrogastrograms using independent component analysis based on a neural network.
Wang ZS; Cheung JY; Chen JD
Med Biol Eng Comput; 1999 Jan; 37(1):80-6. PubMed ID: 10396846
[TBL] [Abstract][Full Text] [Related]
4. Empirical Mode Decomposition for slow wave extraction from electrogastrographical signals.
Mika B; Komorowski D; Tkacz E
Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():4138-41. PubMed ID: 26737205
[TBL] [Abstract][Full Text] [Related]
5. Assessment of slow wave propagation in multichannel electrogastrography by using noise-assisted multivariate empirical mode decomposition and cross-covariance analysis.
Mika B; Komorowski D; Tkacz E
Comput Biol Med; 2018 Sep; 100():305-315. PubMed ID: 29397919
[TBL] [Abstract][Full Text] [Related]
6. Multichannel adaptive enhancement of the electrogastrogram.
Chen JD; Vandewalle J; Sansen W; Vantrappen G; Janssens J
IEEE Trans Biomed Eng; 1990 Mar; 37(3):285-94. PubMed ID: 2329002
[TBL] [Abstract][Full Text] [Related]
7. Continuous wavelet analysis as an aid in the representation and interpretation of electrogastrographic signals.
Qiao W; Sun HH; Chey WY; Lee KY
Ann Biomed Eng; 1998; 26(6):1072-81. PubMed ID: 9846945
[TBL] [Abstract][Full Text] [Related]
8. Signal reconstruction of the slow wave and spike potential from electrogastrogram.
Qin S; Ding W; Miao L; Xi N; Li H; Yang C
Biomed Mater Eng; 2015; 26 Suppl 1():S1515-21. PubMed ID: 26405915
[TBL] [Abstract][Full Text] [Related]
9. What can be measured from surface electrogastrography. Computer simulations.
Liang J; Chen JD
Dig Dis Sci; 1997 Jul; 42(7):1331-43. PubMed ID: 9246026
[TBL] [Abstract][Full Text] [Related]
10. A Combined Methodology to Eliminate Artifacts in Multichannel Electrogastrogram Based on Independent Component Analysis and Ensemble Empirical Mode Decomposition.
Sengottuvel S; Khan PF; Mariyappa N; Patel R; Saipriya S; Gireesan K
SLAS Technol; 2018 Jun; 23(3):269-280. PubMed ID: 29547700
[TBL] [Abstract][Full Text] [Related]
11. Nonlinear adaptive noise compensation in electrogastrograms recorded from healthy dogs.
Mintchev MP; Girard A; Bowes KL
IEEE Trans Biomed Eng; 2000 Feb; 47(2):239-48. PubMed ID: 10721631
[TBL] [Abstract][Full Text] [Related]
12. Robust time delay estimation of bioelectric signals using least absolute deviation neural network.
Wang Z; He Z; Chen JD
IEEE Trans Biomed Eng; 2005 Mar; 52(3):454-62. PubMed ID: 15759575
[TBL] [Abstract][Full Text] [Related]
13. Biomagnetic and bioelectric detection of gastric slow wave activity in normal human subjects--a correlation study.
Somarajan S; Muszynski ND; Obioha C; Richards WO; Bradshaw LA
Physiol Meas; 2012 Jul; 33(7):1171-9. PubMed ID: 22735166
[TBL] [Abstract][Full Text] [Related]
14. Computer simulation of the effect of changing abdominal thickness on the electrogastrogram.
Mintchev MP; Bowes KL
Med Eng Phys; 1998 Apr; 20(3):177-81. PubMed ID: 9690487
[TBL] [Abstract][Full Text] [Related]
15. Application of Empirical Mode Decomposition Combined With Notch Filtering for Interpretation of Surface Electromyograms During Functional Electrical Stimulation.
Pilkar R; Yarossi M; Ramanujam A; Rajagopalan V; Bayram MB; Mitchell M; Canton S; Forrest G
IEEE Trans Neural Syst Rehabil Eng; 2017 Aug; 25(8):1268-1277. PubMed ID: 27834646
[TBL] [Abstract][Full Text] [Related]
16. Improved signal processing techniques for the analysis of high resolution serosal slow wave activity in the stomach.
Paskaranandavadivel N; Cheng LK; Du P; O'Grady G; Pullan AJ
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():1737-40. PubMed ID: 22254662
[TBL] [Abstract][Full Text] [Related]
17. Non-invasive identification of gastric contractions from surface electrogastrogram using back-propagation neural networks.
Chen JD; Lin Z; Wu Q; McCallum RW
Med Eng Phys; 1995 Apr; 17(3):219-25. PubMed ID: 7795860
[TBL] [Abstract][Full Text] [Related]
18. Do increased electrogastrographic frequencies always correspond to internal tachygastria?
Mintchev MP; Bowes KL
Ann Biomed Eng; 1997; 25(6):1052-8. PubMed ID: 9395050
[TBL] [Abstract][Full Text] [Related]
19. Comparison of multichannel electrogastrograms obtained with the use of three different electrode types.
Kasicka-Jonderko A; Jonderko K; Krusiec-Swidergol B; Obrok I; Blonska-Fajfrowska B
J Smooth Muscle Res; 2006 Jun; 42(2-3):89-101. PubMed ID: 17001115
[TBL] [Abstract][Full Text] [Related]
20. Dynamics analysis of electrogastrography using Double-Wayland algorithm.
Matsuura Y; Yokoyama K; Takada H; Shimada K
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():1973-6. PubMed ID: 18002371
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]