Multi stage Principal Component Analysis based method for detection of fetal heart beats in abdominal ECGs

Computing in Cardiology

Volumn 40, Issue , 2013, Pages 301-304

  Petrolis, Robertas ^a   Krisciukaitis, Algimantas ^a,b  

^a LITHUANIAN UNIVERSITY OF HEALTH SCIENCES   (Lithuania)

^b KAUNAS UNIVERSITY OF TECHNOLOGY   (Lithuania)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84894119612     PISSN: 23258861     EISSN: 2325887X     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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4. Callaerts D, De Moor B, Vandewalle I, Sansen W. Comparison of SVD methods to extract the foetal electrocardiogram from cutaneous electrode signals, Med and Bioi Eng and Comput 1990;28:217-224.
5. Najafabadi FS, Zahedi E, Mohd Alauddin Mohd Ali. Fetal heart rate monitoring based on independent component analysis, Computers in Biology and Medicine 2006;36:241-252. (Pubitemid 43156388)
6. Nagel J. H.: Progress in fetal monitoring by improved data acquisition, IEEE Trans. Biomed. Eng 1984;31:9-13.
7. Krisciukaitis A, Tamosiunas M, Iakuska P, Veteikis R, Lekas R, Saferis V, Benetis R. Evaluation of ischemic injury of the cardiac tissue by using the principal component analysis of an epicardial electrogram. Comput Methods Programs Biomed 2006;82:121-9.
8. Wold S. Cross-validatory estimation of the number of components in factor and pricipal component models. Technometrics 1978;20:397-405.
9. Kotas M. Combined application of independent component analysis and projective filtering to fetal ECG extraction. Biocybernetics and Biomedical Engineering 2008;28:75-93.