• DocumentCode
    2929552
  • Title

    Derive right precordial leads at higher intercostal spaces from 12-lead system for diagnosis of Brugada syndrome

  • Author

    Zhu, Xin ; Wei, Daming ; Okazaki, Osamu

  • Author_Institution
    Biomed. Inf. Technol. Lab., Univ. of Aizu, Fukushima, Japan
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    2581
  • Lastpage
    2584
  • Abstract
    Recording the right procordial leads at higher intercostal spaces (ICS) can raise the sensitivity of the diagnosis on Brugada syndrome using ECG. However, the directive measurement of the right precordial leads at the higher ICSs is tedious and impractical. In this paper, we proposed a derivation method based on the information redundancy in the 12-lead system to study the possibility of deriving the right precordial leads at the higher ICSs from the commonly used Mason-Likar 12-lead ECGs. Through the evaluation based on the simulated Brugada-type ECGs and recorded ECGs from BS subjects, we found that the BS characteristic J wave and coved type ST elevation in the right precordial leads at the higher ICSs could be satisfyingly derived from the 12-lead ECGs. It is concluded that the derived precordial leads at the higher ICSs may serve as an assistant diagnosis tool to unmask Brugada syndrome.
  • Keywords
    biomedical electrodes; electrocardiography; medical signal processing; Brugada syndrome diagnosis; Brugada type ECG; Mason-Likar ECG; information redundancy; intercostal space; precordial leads; Data models; Electrocardiography; Heart; Integrated circuit modeling; Lead; Noise; Redundancy; Brugada Syndrome; Computer Simulation; Electrocardiography; Electrodes; Equipment Design; Humans; Models, Anatomic; Reproducibility of Results; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5626662
  • Filename
    5626662