Skip to main content

Advertisement

SpringerLink
Log in

Inverse Independent Component Analysis Facilitates Clarification of the Accessory Conductive Pathway of Wolf–Parkinson–White Syndrome Electrocardiogram

  • Case Report
  • Published:
Pediatric Cardiology Aims and scope Submit manuscript

Abstract

Our aim was to demonstrate a digital analyzing method that could extract the potential of early excitation derived from accessory conductive pathway (ACP) from fusion of the QRS complex wave of the electrocardiogram of Wolf-Parkinson-White (WPW) syndrome. A 13-year-old boy with WPW syndrome received successful catheter ablation therapy. ECG was recorded and analyzed using independent component analysis (ICA) and inverse independent component analysis (I-ICA), at pretherapy and posttherapy. We identified the ACP potential and the following potential spread to the ventricle. Results agreed with those of intracardiac mapping, locating the ACP in the left posterior side of the heart. ICA and I-ICA might be useful for noninvasive analysis of WPW syndrome ECG and other electrocardiac abnormalities.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

References

  1. d’Avila A, Brugada J, Skeberis V, Andries E, Sosa E, Brugada P (1995) A fast and reliable algorithm to localize accessory pathways based on the polarity of the QRS complex on the surface ECG during sinus rhythm. Pacing Clin Electrophysiol 18:1615–1627

    Article  PubMed  CAS  Google Scholar 

  2. Durrer D, Van Dam RT, Freud GE, Janse MJ, Meijler FL, Arzbaecher RC (1970) Total excitation of the isolated human heart. Circulation 41:899–912

    PubMed  CAS  Google Scholar 

  3. Frank R, Fontaine G, Guiraudon G, Cabrol C, Grosgogeat Y, Facquet J (1977) Correlation entre l’orientation l’onde delta et la topographie de preexcitationdans le syndrome de Wolff-Parkinson-White. Arch Mal Coeur 70:441–450

    PubMed  CAS  Google Scholar 

  4. Gallagher JJ, Pritchett ELS, Sealy WC, Kasell J, Wallace AG (1978) The preexcitation syndromes. Proc Cardiovasc Dis 20:285–327

    Article  CAS  Google Scholar 

  5. Hyvärinen A, Oja E (1999) Independent component analysis, a tutorial. Available from http://www.cis.hut.fi/~aapo/ps/NN00.pdf (Accessed 1 October 2004)

  6. Iwa T, Kawasuji M, Misaki T, Iwase T, Magara T (1980) Localization and interruption of accessory conduction pathway in the Wolff-Parkinson-White syndrome. J Thorac Cardiovasc Surg 80:271–279

    Google Scholar 

  7. Jung TP, Makeig S, Humphries C, Lee TW, McKeown MJ, Iragui V (2000) Removing electroencephalographic artifacts by blind source separation. Psychophysiology 37:163–178

    Article  PubMed  CAS  Google Scholar 

  8. Lindsay BD, Crossen KJ, Cain ME (1987) Concordance of distinguishing electrocardiographic features during sinus rhythm with the location of accessory pathways in the Wolf-Parkinson-White syndrome. Am J Cardiol 59:1093–1102

    Article  PubMed  CAS  Google Scholar 

  9. Milstein S, Sharma AD, Guiraudon GM, Klein GJ (1987) An algorithm for the electrocardiographic localization of accessory pathways in the Wolf-Parkinson-White syndrome. Pacing Clin Electrophysiol 10:555–563

    Article  PubMed  CAS  Google Scholar 

  10. Mochimaru F, Fujimoto Y, Ishikawa Y (2004) The fatal electrocardiogram by independent component analysis and wavelets. Jpn J Physiol 54:457–463

    Article  PubMed  Google Scholar 

  11. Reddy GV, Schamroth L (1987) The localization of bypass tracts in the Wolff-Parkinson-White syndrome from the surface electrocardiogram. Am Heart J 113:984–993

    Article  PubMed  CAS  Google Scholar 

  12. Rieta JJ, Castells F, Sanchez C, Zarzoso V, Millet J (2004) Atrial activity extraction for atrial fibrillation analysis using blind source separation. IEEE Trans Biomed Eng 51:1176–1186

    Article  PubMed  Google Scholar 

  13. Rieta JJ, Zarzoso V, Millet J, Garcia R, Ruiz R (2000) Atrial activity extraction based on blind source separation as an alternative to QRST cancellation for atrial fibrillation analysis. IEEE Comput Cardiol 27:69–72

    Google Scholar 

  14. Rosenbaum FF, Hecht HH, Wilson FN, Johnson FD (1945) The potential variations of the thorax and the esophagus in anomalous atrioventricular excitation (Wolf-Parkinson-White syndrome). Am Heart J 29:281–326

    Article  Google Scholar 

  15. Vigario R, Sarela J, Jousmaki V, Hamalainen M, Oja E (2000) Independent component approach to the analysis of EEG and MEG recordings. IEEE Trans Biomed Eng 47:589–593

    Article  PubMed  CAS  Google Scholar 

  16. Wellens HJ, Gorgels AP (2004) The electrocardiogram 102 years after Einthoven. Circulation 109:562

    Article  PubMed  Google Scholar 

  17. Willems JL, Robles de Medina EO, Bernard R et al (1985) Criteria for intraventricular conduction disturbances and pre-excitation. World Health Organizational/International Society and Federation for Cardiology Task Force Ad Hoc. J Am Coll Cardiol 5:1261–1275

    Article  PubMed  CAS  Google Scholar 

  18. Wolff L, Parkinson J, White PD (1930) Bundle branch block with short P-R interval in healthy young people prone to paroxysmal tachycardia. Am Heart J 5:685–704

    Article  Google Scholar 

  19. Xie B, Heald SC, Bashir Y et al (1994) Localization of accessory pathways from the 12-lead electrocardiogram using a new algorithm. Am J Cardiol 74:161–165

    Article  PubMed  CAS  Google Scholar 

  20. Yuan S, Iwa T, Tsubota M, Bando H (1992) Comparative study of eight sets of ECG criteria for the localization of the accessory pathway in Wolf-Parkinson-White syndrome. J Electrocardiol 25:203–214

    Article  PubMed  CAS  Google Scholar 

  21. Zarzoso V, Nandi AK (2001) Noninvasive fetal electrocardiogram extraction: blind separation versus adaptive noise cancellation. IEEE Trans Biomed Eng 48:12–18

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgment

The authors would like to thank Associate Professor Tsunetoyo Nanba in the Department of Medical Technology, Kagawa Prefectural College of Health Sciences for his valuable comments on electropathophysiology.

Author information

Authors and Affiliations

  1. Department of Pediatrics, Sapporo Social Insurance General Hospital, Sapporo, Hokkaido, Japan

    Seika Yanai

  2. Ishikawa Medical Clinic, Saitama, Japan

    Yasuhiro Ishikawa

  3. Department of Pediatrics, East Japan NTT Sapporo Hospital, Sapporo, Hokkaido, Japan

    Shigeto Fuse

  4. Department of Pediatrics, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, Japan

    Hiroyuki Tsutsumi

Authors
  1. Seika Yanai
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yasuhiro Ishikawa
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shigeto Fuse
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hiroyuki Tsutsumi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Seika Yanai.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yanai, S., Ishikawa, Y., Fuse, S. et al. Inverse Independent Component Analysis Facilitates Clarification of the Accessory Conductive Pathway of Wolf–Parkinson–White Syndrome Electrocardiogram. Pediatr Cardiol 30, 59–69 (2009). https://doi.org/10.1007/s00246-008-9250-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00246-008-9250-z

Keywords

Search

Navigation