• DocumentCode
    406502
  • Title

    The phenomenon of breathing pattern of weaning for success and failure groups

  • Author

    Hsueh, MengLun ; Chien, Jen-Chien ; Chong, Fok-Ching ; Wu, Huey-Dong

  • Author_Institution
    Inst. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • Volume
    1
  • fYear
    2003
  • fDate
    17-21 Sept. 2003
  • Firstpage
    467
  • Abstract
    Weaning the discontinuation of mechanical ventilator, it can be regarded as a stress process. It will trigger central neural feedback response to maintain the balance of our body and environments. This phenomenon is usually easily observed in breathing pattern. Weaning will caused a rhythmic change in breathing pattern. We collect data before and after weaning success and weaning failure in clinical environment. Statistical analysis methods are used to investigate this rhythm change. It also provides valuable information about respiratory system. In this paper, we showed that there is obviously difference in normalized standard deviation of after weaning data minus before weaning data between weaning success and weaning failure groups. The success groups also have lower value (bellow to zero) in after minus before weaning data than failure groups. In frequency domain, we find there is obviously difference in weaning success and weaning failure groups in total power of inspiratory time spectrum (p value = 0.028). The result obtains in the time and frequency domain is the same. However, the third frequency peak power amplitude of the spectrum has the same result (p value = 0.021). This phenomenon in breathing pattern may be used as a good weaning index to predict weaning success and failure.
  • Keywords
    medical signal processing; patient treatment; pneumodynamics; breathing pattern; central neural feedback response; clinical environment; mechanical ventilator; respiratory system; rhythmic change; weaning failure groups; weaning success groups; Fluid flow measurement; Frequency domain analysis; Hospitals; Neurofeedback; Pattern analysis; Respiratory system; Rhythm; Statistical analysis; Stress; Ventilation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7789-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2003.1279725
  • Filename
    1279725