• DocumentCode
    2505360
  • Title

    A tolerant algorithm for cardiac pulses characterization in ballistocardiography signals in a non-invasive system

  • Author

    Hernandez, Oscar ; Ramirez, Carlos ; Villeda, Julio

  • fYear
    2011
  • fDate
    28-30 June 2011
  • Firstpage
    465
  • Lastpage
    468
  • Abstract
    A variety of signal processing methods have been developed for detecting the heartbeat from signals obtained by non-invasive devices. In this paper, an algorithm developed for the accurate detection of heartbeats from a ballistocardiography signal is presented. The signal is obtained using a regular chair adapted with Electro-Mechanical Film (EMFi) sensors and an acquisition system, so a ballistocardiogram is generated. The presence of important disturbances in this type of signal is unavoidable due to several natural causes; therefore, its processing involves significant difficulties to be tackled in order to obtain reliable lectures of the heartbeat. The algorithm presented here performs consistently well, showing a very low error rate, even if the signal contains significant noise.
  • Keywords
    biomechanics; biomedical equipment; biomedical measurement; cardiology; data acquisition; electromechanical effects; medical signal detection; medical signal processing; thin film sensors; EMFi sensors; accurate heartbeat detection; acquisition system; ballistocardiography signals; cardiac pulses characterization algorithm; electromechanical film sensors; noninvasive ballistocardiography system; signal processing methods; Conferences; Heart beat; Noise; Sensor systems; Signal processing algorithms; BCG signals; EMFi sensors; cardiac pulse detection; heart rate; heartbeat; non-invasive systems; signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing Workshop (SSP), 2011 IEEE
  • Conference_Location
    Nice
  • ISSN
    pending
  • Print_ISBN
    978-1-4577-0569-4
  • Type

    conf

  • DOI
    10.1109/SSP.2011.5967733
  • Filename
    5967733