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Journal Abstract Search
186 related items for PubMed ID: 17584701
1. Evaluation of the T-wave alternans detection methods: a simulation study. Janusek D, Pawlowski Z, Maniewski R. Anadolu Kardiyol Derg; 2007 Jul; 7 Suppl 1():116-9. PubMed ID: 17584701 [Abstract] [Full Text] [Related]
2. Comparative analysis of methods for automatic detection and quantification of microvolt T-wave alternans. Burattini L, Bini S, Burattini R. Med Eng Phys; 2009 Dec; 31(10):1290-8. PubMed ID: 19758833 [Abstract] [Full Text] [Related]
3. Multilead analysis of T-wave alternans in the ECG using principal component analysis. Monasterio V, Laguna P, Martínez JP. IEEE Trans Biomed Eng; 2009 Jul; 56(7):1880-90. PubMed ID: 19272977 [Abstract] [Full Text] [Related]
5. T wave alternans evaluation using adaptive time-frequency signal analysis and non-negative matrix factorization. Ghoraani B, Krishnan S, Selvaraj RJ, Chauhan VS. Med Eng Phys; 2011 Jul; 33(6):700-11. PubMed ID: 21333581 [Abstract] [Full Text] [Related]
6. Automatic microvolt T-wave alternans identification in relation to ECG interferences surviving preprocessing. Burattini L, Bini S, Burattini R. Med Eng Phys; 2011 Jan; 33(1):17-30. PubMed ID: 20920875 [Abstract] [Full Text] [Related]
7. Assessment of heart rate variability during alterations in stress: complex demodulation vs. spectral analysis. Wilhelm FH, Grossman P, Roth WT. Biomed Sci Instrum; 2005 Jan; 41():346-51. PubMed ID: 15850130 [Abstract] [Full Text] [Related]
9. Methodological principles of T wave alternans analysis: a unified framework. Martínez JP, Olmos S. IEEE Trans Biomed Eng; 2005 Apr; 52(4):599-613. PubMed ID: 15825862 [Abstract] [Full Text] [Related]
13. Performance evaluation of diverse T-wave alternans estimators under variety of noise characterizations and alternans distributions. Bakhshi AD, Bashir S, Shafi I, Maud MA. Australas Phys Eng Sci Med; 2012 Dec; 35(4):439-54. PubMed ID: 23225303 [Abstract] [Full Text] [Related]
14. [An algorithm for detecting T-wave alternans (TWA) based on the maximum of T-waves]. Zhao J, Hua M. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2005 Oct; 22(5):951-5. PubMed ID: 16294729 [Abstract] [Full Text] [Related]
15. Analysis of T-wave alternans using the dominant T-wave paradigm. Mainardi L, Sassi R. J Electrocardiol; 2011 Oct; 44(2):119-25. PubMed ID: 21353060 [Abstract] [Full Text] [Related]
16. Detection of ST segment deviation episodes in ECG using KLT with an ensemble neural classifier. Afsar FA, Arif M, Yang J. Physiol Meas; 2008 Jul; 29(7):747-60. PubMed ID: 18560057 [Abstract] [Full Text] [Related]
17. T-wave alternans detection by a combined method of principal component analysis and T-wave amplitude. Bortolan G, Christov I. Physiol Meas; 2012 Mar; 33(3):333-43. PubMed ID: 22354122 [Abstract] [Full Text] [Related]