• DocumentCode
    1829874
  • Title

    BSeg++: A modified Blind Segmentation Method for Ballistocardiogram Cycle Extraction

  • Author

    Akhbardeh, A. ; Kaminska, Bozena ; Tavakolian, Kouhyar

  • Author_Institution
    Tampere Univ. of Technol., Tampere
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    1896
  • Lastpage
    1899
  • Abstract
    This paper presents a method to extract cardiac cycles and H-I-J components of Ballistocardiogram (BCG). The new improved algorithm BSeg++ permits on the segmentation of BCG signal and extraction of its basic complexes H-I-J without Electrocardiogram (ECG) synchronization. The BSeg++ is based on two previously developed methods described in [1, 2, 3] for extracting BCG cycles without using a reference ECG signal. Those methods suffered from extract redundant BCG cycles because of motion artifacts or BCG fluctuations. In this study, we modified the blind segmentation algorithm and solved its problems. We also added another feature to detect H-I-J complexes of BCG. Also, this new algorithm can be used to extract cardiac cycles and R-S-T components of ECG. The data analysis has been performed on the subjects tested at Simon Fraser University. Initial tests of BCG and ECG from twenty subjects indicate that the method extracted BCG (ECG) cycles and its components with a negligible error in the presence of motion artifacts, BCG fluctuations, latency and non-linear disturbance.
  • Keywords
    electrocardiography; medical signal processing; BSeg++; ballistocardiogram cycle extraction; cardiac cycles; electrocardiogram; modified blind segmentation method; motion artifacts; Band pass filters; Blood; Data mining; Electrocardiography; Fluctuations; Force measurement; Force sensors; Heart; Signal processing; Testing; Algorithms; Artifacts; Ballistocardiography; Data Compression; Data Interpretation, Statistical; Electrocardiography; Equipment Design; Heart Diseases; Humans; Models, Statistical; Motion; Reproducibility of Results; Signal Processing, Computer-Assisted; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4352686
  • Filename
    4352686