190 related articles for article (PubMed ID: 10587467)
1. Dynamic models for nonstationary signal segmentation.
Penny WD; Roberts SJ
Comput Biomed Res; 1999 Dec; 32(6):483-502. PubMed ID: 10587467
[TBL] [Abstract][Full Text] [Related]
2. Bayesian nonstationary autoregressive models for biomedical signal analysis.
Cassidy MJ; Penny WD
IEEE Trans Biomed Eng; 2002 Oct; 49(10):1142-52. PubMed ID: 12374338
[TBL] [Abstract][Full Text] [Related]
3. Modeling and decoding motor cortical activity using a switching Kalman filter.
Wu W; Black MJ; Mumford D; Gao Y; Bienenstock E; Donoghue JP
IEEE Trans Biomed Eng; 2004 Jun; 51(6):933-42. PubMed ID: 15188861
[TBL] [Abstract][Full Text] [Related]
4. Spectral estimation of nonstationary EEG using particle filtering with application to event-related desynchronization (ERD).
Ting CM; Salleh ShH; Zainuddin ZM; Bahar A
IEEE Trans Biomed Eng; 2011 Feb; 58(2):321-31. PubMed ID: 21257361
[TBL] [Abstract][Full Text] [Related]
5. Nonstationary noise estimation in functional MRI.
Long CJ; Brown EN; Triantafyllou C; Aharon I; Wald LL; Solo V
Neuroimage; 2005 Dec; 28(4):890-903. PubMed ID: 16129625
[TBL] [Abstract][Full Text] [Related]
6. Investigating Hidden Markov Models' capabilities in 2D shape classification.
Bicego M; Murino V
IEEE Trans Pattern Anal Mach Intell; 2004 Feb; 26(2):281-6. PubMed ID: 15376904
[TBL] [Abstract][Full Text] [Related]
7. Spike sorting with hidden Markov models.
Herbst JA; Gammeter S; Ferrero D; Hahnloser RH
J Neurosci Methods; 2008 Sep; 174(1):126-34. PubMed ID: 18619490
[TBL] [Abstract][Full Text] [Related]
8. Maximum confidence hidden markov modeling for face recognition.
Chien JT; Liao CP
IEEE Trans Pattern Anal Mach Intell; 2008 Apr; 30(4):606-16. PubMed ID: 18276967
[TBL] [Abstract][Full Text] [Related]
9. Incremental HMM training applied to ECG signal analysis.
Andreão RV; Muller SM; Boudy J; Dorizzi B; Bastos-Filho TF; Sarcinelli-Filho M
Comput Biol Med; 2008 Jun; 38(6):659-67. PubMed ID: 18462711
[TBL] [Abstract][Full Text] [Related]
10. A new Kalman filter approach for the estimation of high-dimensional time-variant multivariate AR models and its application in analysis of laser-evoked brain potentials.
Milde T; Leistritz L; Astolfi L; Miltner WH; Weiss T; Babiloni F; Witte H
Neuroimage; 2010 Apr; 50(3):960-9. PubMed ID: 20060483
[TBL] [Abstract][Full Text] [Related]
11. Tracking the motion of hidden segments using kinematic constraints and Kalman filtering.
Halvorsen K; Johnston C; Back W; Stokes V; Lanshammar H
J Biomech Eng; 2008 Feb; 130(1):011012. PubMed ID: 18298188
[TBL] [Abstract][Full Text] [Related]
12. Estimation of nonstationary EEG with Kalman smoother approach: an application to event-related synchronization (ERS).
Tarvainen MP; Hiltunen JK; Ranta-aho PO; Karjalainen PA
IEEE Trans Biomed Eng; 2004 Mar; 51(3):516-24. PubMed ID: 15000382
[TBL] [Abstract][Full Text] [Related]
13. Adaptive modeling and spectral estimation of nonstationary biomedical signals based on Kalman filtering.
Aboy M; Márquez OW; McNames J; Hornero R; Trong T; Goldstein B
IEEE Trans Biomed Eng; 2005 Aug; 52(8):1485-9. PubMed ID: 16119245
[TBL] [Abstract][Full Text] [Related]
14. Multivariate analysis of full-term neonatal polysomnographic data.
Gerla V; Paul K; Lhotska L; Krajca V
IEEE Trans Inf Technol Biomed; 2009 Jan; 13(1):104-10. PubMed ID: 19129029
[TBL] [Abstract][Full Text] [Related]
15. A statistical model for contours in images.
Destrempes F; Mignotte M
IEEE Trans Pattern Anal Mach Intell; 2004 May; 26(5):626-38. PubMed ID: 15460283
[TBL] [Abstract][Full Text] [Related]
16. Characterization of single channel currents using digital signal processing techniques based on Hidden Markov Models.
Chung SH; Moore JB; Xia LG; Premkumar LS; Gage PW
Philos Trans R Soc Lond B Biol Sci; 1990 Sep; 329(1254):265-85. PubMed ID: 1702543
[TBL] [Abstract][Full Text] [Related]
17. A descriptive method to evaluate the number of regimes in a switching autoregressive model.
Olteanu M
Neural Netw; 2006; 19(6-7):963-72. PubMed ID: 16797919
[TBL] [Abstract][Full Text] [Related]
18. Time-varying analysis of heart rate variability signals with a Kalman smoother algorithm.
Tarvainen MP; Georgiadis SD; Ranta-Aho PO; Karjalainen PA
Physiol Meas; 2006 Mar; 27(3):225-39. PubMed ID: 16462010
[TBL] [Abstract][Full Text] [Related]
19. Semisupervised learning of hidden Markov models via a homotopy method.
Ji S; Watson LT; Carin L
IEEE Trans Pattern Anal Mach Intell; 2009 Feb; 31(2):275-87. PubMed ID: 19110493
[TBL] [Abstract][Full Text] [Related]
20. [An adaptive criterion for cluster number estimation and the optimal algorithm for image segmentation].
Yan G; Chen WF
Nan Fang Yi Ke Da Xue Xue Bao; 2006 Jul; 26(7):959-62. PubMed ID: 16864086
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]