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Items: 1 to 20 of 208

1.

Multiscale sample entropy based on discrete wavelet transform for clinical heart rate variability recognition.

Lee MY, Yu SN.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:4299-302. doi: 10.1109/EMBC.2012.6346917.

PMID:
23366878
2.

Multiscale analysis of heart rate variability: a comparison of different complexity measures.

Hu J, Gao J, Tung WW, Cao Y.

Ann Biomed Eng. 2010 Mar;38(3):854-64. doi: 10.1007/s10439-009-9863-2. Epub 2009 Dec 12.

PMID:
20012693
3.

Time-varying coherence function for atrial fibrillation detection.

Lee J, Nam Y, McManus DD, Chon KH.

IEEE Trans Biomed Eng. 2013 Oct;60(10):2783-93. doi: 10.1109/TBME.2013.2264721. Epub 2013 May 22.

PMID:
23708769
4.

Automatic detection of atrial fibrillation using stationary wavelet transform and support vector machine.

Asgari S, Mehrnia A, Moussavi M.

Comput Biol Med. 2015 May;60:132-42. doi: 10.1016/j.compbiomed.2015.03.005. Epub 2015 Mar 14.

PMID:
25817534
5.

Study of atrial activities for abnormality detection by phase rectified signal averaging technique.

Maji U, Pal S, Mitra M.

J Med Eng Technol. 2015;39(5):291-302. doi: 10.3109/03091902.2015.1052108. Epub 2015 Jun 18.

PMID:
26084877
6.

Detection of atrial fibrillation episodes using SVM.

Mohebbi M, Ghassemian H.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:177-80. doi: 10.1109/IEMBS.2008.4649119.

PMID:
19162622
7.

Bispectral analysis and genetic algorithm for congestive heart failure recognition based on heart rate variability.

Yu SN, Lee MY.

Comput Biol Med. 2012 Aug;42(8):816-25. doi: 10.1016/j.compbiomed.2012.06.005. Epub 2012 Jul 17.

PMID:
22809682
8.

Nonlinear analysis of electrocardiography signals for atrial fibrillation.

Sezgin N.

ScientificWorldJournal. 2013 May 13;2013:509784. doi: 10.1155/2013/509784. Print 2013.

9.

Detection of atrial fibrillation episodes using multiple heart rate variability features in different time periods.

Kim D, Seo Y, Youn CH.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:5482-5. doi: 10.1109/IEMBS.2008.4650455.

PMID:
19163958
10.

Frequency tracking of atrial fibrillation using Hidden Markov Models.

Nilsson F, Stridh M, Sörnmo L.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:1406-9.

PMID:
17945643
11.

Feature extraction based on time-frequency and Independent Component Analysis for improvement of separation ability in Atrial Fibrillation detector.

Kostka PS, Tkacz EJ.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:2960-3. doi: 10.1109/IEMBS.2008.4649824.

PMID:
19163327
12.

Beat to beat wavelet variability in atrial fibrillation.

Filos D, Chouvarda I, Dakos G, Vassilikos V, Maglaveras N.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:953-6. doi: 10.1109/IEMBS.2011.6090215.

PMID:
22254469
13.

Improving discriminality in heart rate variability analysis using simple artifact and trend removal preprocessors.

Lee MY, Yu SN.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:4574-7. doi: 10.1109/IEMBS.2010.5626022.

PMID:
21095798
14.

A novel method for detection of the transition between atrial fibrillation and sinus rhythm.

Huang C, Ye S, Chen H, Li D, He F, Tu Y.

IEEE Trans Biomed Eng. 2011 Apr;58(4):1113-9. doi: 10.1109/TBME.2010.2096506. Epub 2010 Dec 3.

PMID:
21134807
15.

Discrete wavelet transform coefficients for emotion recognition from EEG signals.

Yohanes RE, Ser W, Huang GB.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:2251-4. doi: 10.1109/EMBC.2012.6346410.

PMID:
23366371
16.

Intrinsic mode analysis of human heartbeat time series.

Yeh JR, Sun WZ, Shieh JS, Huang NE.

Ann Biomed Eng. 2010 Apr;38(4):1337-44. doi: 10.1007/s10439-010-9939-z. Epub 2010 Jan 30.

PMID:
20119846
17.

High efficient system for automatic classification of the electrocardiogram beats.

Zadeh AE, Khazaee A.

Ann Biomed Eng. 2011 Mar;39(3):996-1011. doi: 10.1007/s10439-010-0229-6. Epub 2010 Dec 8.

PMID:
21140292
18.

Frequency tracking of atrial fibrillation using hidden Markov models.

Sandberg F, Stridh M, Sörnmo L.

IEEE Trans Biomed Eng. 2008 Feb;55(2 Pt 1):502-11. doi: 10.1109/TBME.2007.905488.

PMID:
18269985
19.

Classification of cardiac rhythm using heart rate dynamical measures: validation in MIT-BIH databases.

Carrara M, Carozzi L, Moss TJ, de Pasquale M, Cerutti S, Lake DE, Moorman JR, Ferrario M.

J Electrocardiol. 2015 Nov-Dec;48(6):943-6. doi: 10.1016/j.jelectrocard.2015.08.002. Epub 2015 Aug 4.

PMID:
26320371
20.

Feature extraction in time-frequency signal analysis by means of matched wavelets as a feature generator.

Kostka PS, Tkacz EJ.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:4996-9. doi: 10.1109/IEMBS.2011.6091238.

PMID:
22255460

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